Package 'cricketr'

Title: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru
Description: Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers. The package can also be used to analyze team performances.
Authors: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <[email protected]>
License: MIT + file LICENSE
Version: 0.0.26
Built: 2025-02-26 03:29:54 UTC
Source: https://github.com/tvganesh/cricketr

Help Index

Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru This package analyzes the performances of cricketers using ESPN Cricinfo Statsguru data. The analysis can be done for Test, ODI and Twenty20 cricket for both batsman & bowlers

Description

Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers. The package can also be used to analyze team performances. This package analyzes the performances of cricketers using ESPN Cricinfo Statsguru data. The analysis can be done for Test, ODI and Twenty20 cricket for both batsman & bowlers

Details

The DESCRIPTION file:

Package: cricketr
Type: Package
Title: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru
Description: Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers. The package can also be used to analyze team performances.
Version: 0.0.26
Date: 2021-03-22
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <[email protected]>
License: MIT + file LICENSE
Depends: R (>= 3.1.2)
Imports: dplyr, plotrix, ggplot2, scatterplot3d, forecast, lubridate, XML, graphics, grDevices, httr, stats, utils
URL: https://github.com/tvganesh/cricketr
BugReports: https://github.com/tvganesh/cricketr/issues
RoxygenNote: 7.1.1
Config/pak/sysreqs: libxml2-dev libssl-dev
Repository: https://tvganesh.r-universe.dev
RemoteUrl: https://github.com/tvganesh/cricketr
RemoteRef: HEAD
RemoteSha: bc40c9a0c26425f07e45f66e73d6bb83b4bf34c3

Index of help topics: 

ER                      Calculate the mean Economy Rate
WR                      This function caculates the wicket rate vs mean
                        number of deliveries
ashwin                  Data set for Ravichandran Ashwin
ashwin1                 Data set for Ravichander Ashwin
badree                  Data set for Samuel Badree
batsman4s               Plot the numbers of 4s against the runs scored
                        by batsman
batsman4s6s             Compute and plot a stacked barplot of runs,4s
                        and 6s
batsman6s               Plot the run range against the number of 6s
batsmanAvgRunsGround    This function computes and plots the Average
                        runs scored in the different grounds played by
                        batsman
batsmanAvgRunsOpposition
                        This function computes and plots the Average
                        runs against different opposition played by
                        batsman
batsmanContributionWonLost
                        Disply the batsman's contribution in matches
                        that were won and those that were lost
batsmanCumulativeAverageRuns
                        Batsman's cumulative average runs
batsmanCumulativeStrikeRate
                        Batsman's cumulative average strike rate
batsmanDismissals       Display a 3D Pie Chart of the dismissals of the
                        batsman
batsmanMeanStrikeRate   Calculate and plot the Mean Strike Rate of the
                        batsman on total runs scored
batsmanMovingAverage    Calculate and plot the Moving Average of the
                        batsman in his career
batsmanPerfBoxHist      Make a boxplot and a histogram of the runs
                        scored by the batsman
batsmanPerfForecast     Forecast the batting performance based on past
                        performances using Holt-Winters forecasting
batsmanPerfHomeAway     This function analyses the performance of the
                        batsman at home and overseas
batsmanRunsFreqPerf     Calculate and run frequencies in ranges of 10
                        runs and plot versus Runs the performance of
                        the batsman
batsmanRunsLikelihood   This function uses K-Means to determine the
                        likelihood of the batsman to get runs
batsmanRunsPredict      Predict the runs for the batsman given the
                        Balls Faced and Minutes in crease
batsmanRunsRanges       Compute and plot a histogram of the runs scored
                        in ranges of 10
batsmanScoringRateODTT
                        Compute and plot the predicted scoring rate for
                        a One day batsman or Twenty20
battingPerf3d           Make a 3D scatter plot of the Runs scored
                        versus the Balls Faced and Minutes at Crease.
bowlerAvgWktsGround     This function computes and plot the average
                        wickets in different ground
bowlerAvgWktsOpposition
                        This function computes and plot the average
                        wickets against different oppositon
bowlerContributionWonLost
                        Display the bowler's contribution in matches
                        that were won and those that were lost
bowlerCumulativeAvgEconRate
                        Bowler's cumulative average economy rate
bowlerCumulativeAvgWickets
                        Bowler's cumulative average wickets
bowlerEconRate          Compute and plot the Mean Economy Rate versus
                        wickets taken
bowlerHistWickets       Plot a histogram of Wicket percentages versus
                        wickets taken
bowlerMovingAverage     Compute and plot the moving average of the
                        wickets taken for a bowler
bowlerPerfForecast      Forecast the bowler performance based on past
                        performances using Holt-Winters forecasting
bowlerPerfHomeAway      This function analyses the performance of the
                        bowler at home and overseas
bowlerWktRateTT         Compute and plot the Mean number of deliveries
                        versus wickets taken
bowlerWktsFreqPercent   Plot the Wickets Frequency as a percentage
                        against wickets taken
bowlerWktsRunsPlot      Compute and plot the runs conceded versus the
                        wickets taken
checkBatsmanInForm      Check whether the batsman is In-Form or
                        Out-Of-Form by looking at his last 10 percent
                        scores
checkBowlerInForm       Check whether the bowler is In-Form or
                        Out-Of-Form by looking at his last 10 percent
                        scores
clean                   Create a batsman data frame given the batsman's
                        CSV file
cleanBowlerData         Clean the bowlers data frame
cleanTeamData           Clean the team data for Test, ODI and T20
cricketr-package        Analyze Cricketers and Cricket Teams Based on
                        ESPN Cricinfo Statsguru This package analyzes
                        the performances of cricketers using ESPN
                        Cricinfo Statsguru data. The analysis can be
                        done for Test, ODI and Twenty20 cricket for
                        both batsman & bowlers
devilliers              Data set for AB Devilliers
ganguly                 Data set for Sourav Ganguly
gayle                   Data set for Chris Gayle
getMatchType            Get the number of the match type viz.for Test,
                        ODI and T20
getPlayerData           Get the player data from ESPN Cricinfo based on
                        specific inputs and store in a file in a given
                        directory
getPlayerDataHA         Return the CSV file and a dataframe of a
                        player's matches along with home/away column
getPlayerDataOD         Get the One day player data from ESPN Cricinfo
                        based on specific inputs and store in a file in
                        a given directory
getPlayerDataOppnHA     Return a filtered CSV file for a player against
                        specified opposition, at home/away venues
                        during an interval
getPlayerDataSp         Get the player data along with venue and
getPlayerDataTT         Get the Twenty20 International player data from
                        ESPN Cricinfo based on specific inputs and
                        store in a file in a given directory~
getTeamData             Get the data for a team in a match type viz.for
                        Test, ODI and T20
getTeamDataHomeAway     Get the data for a team in a match type viz.for
                        Test, ODI and T20 with the
                        home/overseas/neutral
getTeamNumber           Get the number of the Team
kohli                   Data set for Virat Kohli
kohli1                  Data set for Virat Kohli
kumble                  Data set for Anil Kumble
kumble1                 Data set for Anil Kumble
kumblesp                Data set for Anil Kumble
malinga                 Data set for Lasith Malinga
malinga1                Data set for Lasith Malinga
maxwell                 Data set for Glenn Maxwell
mendis                  Data set for Ajantha Mendis
mitchell                Data set for Mitchell Johnson
murali                  Data set for Muthiah Muralitharan
narine                  Data set for Sunil Narine
percentRuns             Calculate the percent runs in each run range
percentWkts             Calculate the percentage of wickets taken by
                        bowler
plotTimelineofWinsLosses
                        Plot the time line of wins/losses/draw/tied etc
                        for a Team in Test, ODI or T20
relativeBatsmanCumulativeAvgRuns
                        Relative batsman's cumulative average runs
relativeBatsmanCumulativeStrikeRate
                        Relative batsmen cumulative average strike rate
relativeBatsmanSR       Calculate and plot the relative Mean Strike
                        Rate (SR) for each batsman
relativeBatsmanSRODTT   Calculate and plot the relative Mean Strike
                        Rate (SR) for each batsman for ODI or Twenty20
                        batsmen
relativeBowlerCumulativeAvgEconRate
                        Relative Bowler's cumulative average economy
                        rate
relativeBowlerCumulativeAvgWickets
                        Relative bowlers cumulative average wickets
relativeBowlingER       Compute and plot the relative mean Economy
                        Rate(ER) of the bowlers
relativeBowlingERODTT   Compute and plot the relative mean Economy
                        Rate(ER) of the bowlers for ODI or Twenty20
relativeBowlingPerf     Plot the relative performances of bowlers
relativeRunsFreqPerf    Calculate and compute the relative run
                        frequencies of a list of cricketers
relativeRunsFreqPerfODTT
                        Calculate and compute the relative run
                        frequencies of a list of cricketers
relativeWktRateTT       Compute and plot the relative Mean Wicket Rate
                        of the bowlers in Twenty20 International
sehwag                  Data set for Virendar Sehwag
sehwag1                 Data set for Virendar Sehwag
sehwag2                 Data set for Virendar Sehwag
southee                 Data set for Tim Southee
steyn                   Data set for Dale Steyn
teamWinLossStatusAtGrounds
                        Compute the wins/losses/draw/tied etc for a
                        Team in Test, ODI or T20 at venues
teamWinLossStatusVsOpposition
                        Compute the wins/losses/draw/tied etc for a
                        Team in Test, ODI or T20 against opposition
tendulkar               Data set for Sachin Tendulkar
tendulkar1              Data set for Sachin Tendulkar
tendulkar2              Data set for Sachin Tendulkar
tendulkarsp             Data set for Sachin Tendulkar
warne                   Data set for Shane Warne

Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers.

Author(s)

Tinniam V Ganesh Tinniam V Ganesh Maintainer: Tinniam V Ganesh <[email protected]> Tinniam V Ganesh [email protected]

References

Details in my post https://gigadom.in/2015/07/04/introducing-cricketr-a-r-package-to-analyze-performances-of-cricketers/

See Also

https://www.youtube.com/edit?o=U&video_id=q9uMPFVsXsI

Examples

## Not run: 
getPlayerData(profile,opposition="",host="",dir="./data",file="player001.csv",
type="batting", homeOrAway=c(1,2),result=c(1,2,4))
getPlayerDataOD(profile, opposition="",host="",dir = "../", file = "player001.csv", 
type = "batting", homeOrAway = c(1, 2, 3), result = c(1, 2, 3,5))
getPlayerDataTT(profile, opposition="",host="",dir = "./data", file = "player001.csv", 
type = "batting", homeOrAway = c(1, 2, 3), result = c(1, 2, 3,5))
batsmanAvgRunsGround(file, name = "A Latecut")
bowlerAvgWktsGround(file, name = "A Chinaman")
tendulkar <- system.file("data", "tendulkar.csv", package = "cricketr")
ganguly <- system.file("data", "ganguly.csv", package = "cricketr")
dravid <- system.file("data", "dravid.csv", package = "cricketr")
batsmen <- list(tendulkar,dravid,ganguly)
names <- list("Tendulkar","Dravid","Ganguly")
relativeBatsmanCumulativeAvgRuns(batsmen,names)

## End(Not run)

Data set for Ravichandran Ashwin

Description

CSV file Ravichandran Ashwin

Usage

data("ashwin")

Format

The format is: chr "ashwin"

Details

CSV file Ravichandran Ashwin

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Ravichander Ashwin

Description

Data set for Ravichander Ashwin

Usage

data("ashwin1")

Format

The format is: chr "ashwin1"

Details

Data set for Ravichander Ashwin

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Samuel Badree

Description

CSV file Samuel Badree

Usage

data("badree")

Format

The format is: chr "badree"

Details

CSV file Samuel Badree

Source

ESPN Cricinfo Statsguru

References

https://www.espncricinfo.com/ci/content/stats/index.html

Plot the numbers of 4s against the runs scored by batsman

Description

This function plots the number of 4s against the total runs scored by batsman. A 2nd order polynomial regression curve is also plotted. The predicted number of 4s for 50 runs and 100 runs scored is also plotted

Usage

batsman4s(file, name="A Hookshot")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsman6s

Examples

## Not run: 

 
# Get or use the <batsman>.csv obtained with getPlayerData()
#tendulkar  <- getPlayerData(35320,dir="../",file="tendulkar.csv",type="batting",
#homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsman4s(pathToFile, "Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory. The
# general format is pkg-function(pathToFile,par1,...)


## End(Not run)

Compute and plot a stacked barplot of runs,4s and 6s

Description

Compute and plot a stacked barplot of percentages of runs in (1s,2s and 3s),4s and 6s

Usage

batsman4s6s(frames, names)

Arguments

frames

List of batsman

names

Names of batsman

Details

More details can be found in my short video tutorial in Youtubehttps://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/ https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanScoringRateODTT, relativeRunsFreqPerfODTT, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerDataOD()
#sehwag <-getPlayerData(35263,dir="./data", file="sehwag.csv",type="batting", 
#homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsman4s6s(pathToFile, "Sachin Tendulkar")

#Note: This example uses the file tendulkar.csv from the /data directory. However
#you can use any directory as long as the data file exists in that directory.
#The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Plot the run range against the number of 6s

Description

Compute and plot the number of 6s in the total runs scored by batsman

Usage

batsman6s(file, name="A Hookshot")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsman4s

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsman6s(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
#The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

This function computes and plots the Average runs scored in the different grounds played by batsman

Description

This function computed the Average Runs scored on different pitches and also indicates the number of innings played at these venues

Usage

batsmanAvgRunsGround(file, name = "A Latecut")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanAvgRunsGround(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
#The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

This function computes and plots the Average runs against different opposition played by batsman

Description

This function computes the mean runs scored by batsman against different opposition

Usage

batsmanAvgRunsOpposition(file, name = "A Latecut")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMovingAverage, batsmanPerfBoxHist batsmanAvgRunsGround

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
path <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanAvgRunsOpposition(path,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.

## End(Not run)

Disply the batsman's contribution in matches that were won and those that were lost

Description

Plot the comparative contribution of the batsman in matches that were won and lost as box plots

Usage

batsmanContributionWonLost(file, name = "A Hitter")

Arguments

file

CSV file of batsman from ESPN Cricinfo obtained with getPlayerDataSp()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanMovingAverage batsmanRunsPredict batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#tendulkarsp <-getPlayerDataSp(35320,".","tendulkarsp.csv","batting")
# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkarsp.csv", package = "cricketr")
batsmanContributionWonLost(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Batsman's cumulative average runs

Description

This function computes and plots the cumulative average runs of a batsman

Usage

batsmanCumulativeAverageRuns(file,name= "A Leg Glance")

Arguments

file

Data frame
name

Name of batsman

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanCumulativeStrikeRate bowlerCumulativeAvgEconRate bowlerCumulativeAvgWickets

Examples

## Not run: 
# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanCumulativeAverageRuns(pathToFile, "Sachin Tendulkar")

## End(Not run)

Batsman's cumulative average strike rate

Description

This function computes and plots the cumulative average strike rate of a batsman

Usage

batsmanCumulativeStrikeRate(file,name= "A Leg Glance")

Arguments

file

Data frame
name

Name of batsman

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanCumulativeAverageRuns bowlerCumulativeAvgEconRate bowlerCumulativeAvgWickets

Examples

## Not run: 
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanCumulativeStrikeRate(pathToFile, "Sachin Tendulkar")

## End(Not run)

Display a 3D Pie Chart of the dismissals of the batsman

Description

Display the dismissals of the batsman (caught, bowled, hit wicket etc) as percentages

Usage

batsmanDismissals(file, name="A Squarecut")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanMeanStrikeRate, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanDismissals(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Calculate and plot the Mean Strike Rate of the batsman on total runs scored

Description

This function calculates the Mean Strike Rate of the batsman for each interval of runs scored

Usage

batsmanMeanStrikeRate(file, name = "A Hitter")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMovingAverage, batsmanPerfBoxHist batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanMeanStrikeRate(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Calculate and plot the Moving Average of the batsman in his career

Description

This function calculates and plots the Moving Average of the batsman in his career

Usage

batsmanMovingAverage(file,name="A Squarecut")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMeanStrikeRate, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanMovingAverage(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Make a boxplot and a histogram of the runs scored by the batsman

Description

Make a boxplot and histogram of the runs scored by the batsman. Plot the Mean, Median, 25th and 75th quantile

Usage

batsmanPerfBoxHist(file, name="A Hitter")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMeanStrikeRate, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsman4s(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)


## End(Not run)

Forecast the batting performance based on past performances using Holt-Winters forecasting

Description

This function forecasts the performance of the batsman based on past performances using HoltWinters forecasting model

Usage

batsmanPerfForecast(file, name="A Squarecut")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMeanStrikeRate, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanPerfForecast(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

This function analyses the performance of the batsman at home and overseas

Description

This function plots the runs scored by the batsman at home and overseas

Usage

batsmanPerfHomeAway(file, name = "A Hitter")

Arguments

file

CSV file of batsman from ESPN Cricinfo obtained with getPlayerDataSp()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanMovingAverage batsmanRunsPredict batsmanPerfBoxHist bowlerContributionWonLost

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#tendulkarSp <-getPlayerDataSp(35320,".","tendulkarsp.csv","batting")

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkarsp.csv", package = "cricketr")
batsmanPerfHomeAway(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Calculate and run frequencies in ranges of 10 runs and plot versus Runs the performance of the batsman

Description

This function calculates frequencies of runs in 10 run buckets and plots this percentage

Usage

batsmanRunsFreqPerf(file, name="A Hookshot")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanRunsFreqPerf(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

This function uses K-Means to determine the likelihood of the batsman to get runs

Description

This function used K-Means to get the likelihood of getting runs based on clusters of runs the batsman made in the past.It uses K-Means for this.

Usage

batsmanRunsLikelihood(file, name = "A Squarecut")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanMovingAverage batsmanRunsPredict battingPerf3d batsmanContributionWonLost

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanRunsLikelihood(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Predict the runs for the batsman given the Balls Faced and Minutes in crease

Description

Fit a linear regression plane between Runs scored and Minutes in Crease and Balls Faced. This will be used to predict the batsman runs for time in crease and balls faced

Usage

batsmanRunsPredict(file, name="A Coverdrive", newdataframe)

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

newdataframe

This is a data frame with 2 columns BF(Balls Faced) and Mins(Minutes)

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

Returns a data frame with the predicted runs for the Balls Faced and Minutes at crease

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanMovingAverage battingPerf3d batsmanContributionWonLost

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
# tendulkar <- getPlayerData(35320,file="tendulkar.csv",type="batting", 
# homeOrAway=c(1,2), result=c(1,2,4))

# Use a single value for BF and Mins
BF <- 30
Mins <- 20

# retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanRunsPredict(pathToFile,"Sachin Tendulkar",newdataframe=data.frame(BF,Mins))

#or give a data frame
#BF <- seq(20,200, length=15)
#Mins <- seq(30,220,length=15)

#values <- batsmanRunsPredict("../cricketr/data/tendulkar.csv","Sachin Tendulkar",
    #newdataframe=data.frame(BF,Runs)
#print(values)

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Compute and plot a histogram of the runs scored in ranges of 10

Description

Compute and plot a histogram of the runs scored in ranges of 10

Usage

batsmanRunsRanges(file, name="A Hookshot")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanRunsRanges(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Compute and plot the predicted scoring rate for a One day batsman or Twenty20

Description

This function computes and plots a 2nd order polynomial between the balls faced and runs scored for ODI or Twenty20

Usage

batsmanScoringRateODTT(file, name = "A Hookshot")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerDataOD() or getPlayerTT()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsman6s relativeBatsmanSRODTT relativeRunsFreqPerfODTT

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerDataOD() or or getPlayerTT()
#sehwag <-getPlayerData(35263,dir="./mytest", file="sehwag.csv",type="batting",
# homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "sehwag.csv", package = "cricketr")
batsmanScoringRateODTT(pathToFile,"Sehwag")

# Note: This example uses the file sehwag.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Make a 3D scatter plot of the Runs scored versus the Balls Faced and Minutes at Crease.

Description

Make a 3D plot of the Runs scored by batsman vs Minutes in crease and Balls faced. Fit a linear regression plane

Usage

battingPerf3d(file, name="A Hookshot")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMeanStrikeRate, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  tendulkar<- getPlayerData(35320,file="tendulkar.csv",type="batting", 
#homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
battingPerf3d(pathToFile,"Sachin Tendulkar")

# Note: The above example uses the file tendulkar.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

This function computes and plot the average wickets in different ground

Description

This function computes the average wickets taken against different grounds by the bowler. It also shows the number innings at each venue

Usage

bowlerAvgWktsGround(file, name = "A Chinaman")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(30176,file="kumble.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerAvgWktsGround(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

This function computes and plot the average wickets against different oppositon

Description

This function computes the average wickets taken against different opposition by the bowler. It also shows the number innings against each opposition

Usage

bowlerAvgWktsOpposition(file, name = "A Chinaman")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf bowlerAvgWktsGround

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(30176,file="kumble.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerAvgWktsOpposition(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Display the bowler's contribution in matches that were won and those that were lost

Description

Plot the comparative contribution of the bowler in matches that were won and lost as box plots

Usage

bowlerContributionWonLost(file, name = "A Doosra")

Arguments

file

CSV file of bowler from ESPN Cricinfo obtained with getPlayerDataSp()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerMovingAverage bowlerPerfForecast checkBowlerInForm

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerDataSp()
#kumbleSp <-getPlayerDataSp(30176,".","kumblesp.csv","bowling")
# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumblesp.csv", package = "cricketr")
bowlerContributionWonLost(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Bowler's cumulative average economy rate

Description

This function computes and plots the cumulative average economy rate of a bowler

Usage

bowlerCumulativeAvgEconRate(file,name)

Arguments

file

Data frame
name

Name of batsman

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanCumulativeAverageRuns bowlerCumulativeAvgWickets batsmanCumulativeStrikeRate

Examples

## Not run: )
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerCumulativeAvgEconRate(pathToFile,"Anil Kumble")

## End(Not run)

Bowler's cumulative average wickets

Description

This function computes and plots the cumulative average wickets of a bowler

Usage

bowlerCumulativeAvgWickets(file,name)

Arguments

file

Data frame
name

Name of batsman

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanCumulativeAverageRuns bowlerCumulativeAvgEconRate batsmanCumulativeStrikeRate

Examples

## Not run: )
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerCumulativeAvgWickets(pathToFile,"Anil Kumble")

## End(Not run)

Compute and plot the Mean Economy Rate versus wickets taken

Description

This function computes the mean economy rate for the wickets taken and plot this

Usage

bowlerEconRate(file, name = "A Bowler")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# kumble <- getPlayerData(30176,dir=".", file="kumble.csv",type="batting", 
# homeOrAway=c(1,2),result=c(1,2,4))


# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerEconRate(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Plot a histogram of Wicket percentages versus wickets taken

Description

This function computes the percentages of wickets taken versus wickets in the bowler's career

Usage

bowlerHistWickets(file,name="A Googly")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(30176,file="kumble.csv",type="bowling", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerHistWickets(pathToFile, "Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)


## End(Not run)

Compute and plot the moving average of the wickets taken for a bowler

Description

This function plots the wickets taken by a bowler as a time series and plots the moving average over the career

Usage

bowlerMovingAverage(file, name = "A Doosra")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(30176,file="kumble.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerMovingAverage(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.

## End(Not run)

Forecast the bowler performance based on past performances using Holt-Winters forecasting

Description

This function forecasts the performance of the bowler based on past performances using HoltWinters forecasting model

Usage

bowlerPerfForecast(file, name = "A Googly")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerEconRate, bowlerMovingAverage, bowlerContributionWonLost

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(30176,file="kumble.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerPerfForecast(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

This function analyses the performance of the bowler at home and overseas

Description

This function plots the Wickets taken by the batsman at home and overseas

Usage

bowlerPerfHomeAway(file, name = "A Googly")

Arguments

file

CSV file of the bowler from ESPN Cricinfo (for e.g. Kumble's profile no:30176)

name

Name of bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerMovingAverage bowlerPerfForecast checkBowlerInForm bowlerContributionWonLost

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerDataSp()
#kumbleSp <-getPlayerDataSp(30176,".","kumblesp.csv","bowling")

# Retrieve the file path of a data file installed with cricketr
path <- system.file("data", "kumblesp.csv", package = "cricketr")
bowlerPerfHomeAway(path,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.


## End(Not run)

Compute and plot the Mean number of deliveries versus wickets taken

Description

This function computes and plots the Mean number of deliveries versus wickets taken for bowlers in Twenty20 Internation

Usage

bowlerWktRateTT(file, name = "A Bowler")

Arguments

file

his is the <bowler>.csv file obtained with an initial getPlayerDataTT()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerDataTT(26421,dir=".",file="ashwin.csv",type="bowling", 
# homeOrAway=c(1,2,3), result=c(1,2,3,5))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "ashwin.csv", package = "cricketr")
bowlerWktRateTT(pathToFile,"R Ashwin")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Plot the Wickets Frequency as a percentage against wickets taken

Description

This function calculates the Wickets frequency as a percentage of total wickets taken and plots this agains the wickets taken.

Usage

bowlerWktsFreqPercent(file, name="A Bowler")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(30176,file="kumble.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerWktsFreqPercent(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Compute and plot the runs conceded versus the wickets taken

Description

This function creates boxplots on the runs conceded for wickets taken for the bowler

Usage

bowlerWktsRunsPlot(file, name = "A Googly")

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER relativeBowlingPerf bowlerHistWickets

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(30176,file="kumble.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
bowlerWktsRunsPlot(pathToFile,"Anil Kumble")

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Check whether the batsman is In-Form or Out-Of-Form by looking at his last 10 percent scores

Description

This function checks whether the batsman is In-Form or Out-Of-Form by doing hypothesis testing and generating a p-value. The last 10 percent of runs scored (sample) are used as a sample against the rest 90 percent of runs scored (population) by the batsman.A significance value of 0.05 is used. The lower tail is checked. The NULL hypothesis is that the batsman is In-Form with the sample mean being within 95 percent confidence interval. If the sample mean is outside this 95 percent range and the p-value is less than the significance value the batsman is considered to be Out-Of-Form

Usage

checkBatsmanInForm(file, name = "A Hitter", alpha = 0.05)

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

alpha

Significance value

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMeanStrikeRate, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
checkBatsmanInForm(pathToFile,"Sachin Tendulkar")

#Note: This example uses the file tendulkar.csv from the /data directory. However
#you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Check whether the bowler is In-Form or Out-Of-Form by looking at his last 10 percent scores

Description

This function checks whether the bowler is In-Form or Out-Of-Form by doing hypothesis testing and generating a p-value. The last 10 percent of runs scored (sample) are used as a sample against the rest 90 percent of runs scored (population) by the bowler.A significance value of 0.05 is used. The lower tail is checked. The NULL hypothesis is that the bowler is In-Form with the sample mean being within 95 percent confidence interval. If the sample mean is outside this 95 percent range and the p-value is less than the significance value the bowler is considered to be Out-Of-Form

Usage

checkBowlerInForm(file, name = "A N Inswinger", alpha = 0.05)

Arguments

file

This is the <bowler>.csv file obtained with an initial getPlayerData()

name

Name of the bowler

alpha

Significance value

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.wordpress.com/

See Also

bowlerMovingAverage batsmanPerfForecast bowlerContributionWonLost

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(30176,file="kumble.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
checkBowlerInForm(pathToFile,"Anil Kumble")

#Note: This example uses the file kumble.csv from the /data directory. However
#you can use any directory as long as the data file exists in that directory.
# The general format is pkg-function(pathToFile,par1,...)

## End(Not run)

Create a batsman data frame given the batsman's CSV file

Description

The function removes rows from the batsman dataframe where the batsman did not bat (DNB) or the team did not bat (TDNB). COnverts not outs '*' (97*, 128*) to 97,128 by stripping the '*' character. It picks all the complete cases and returns the data frame

Usage

clean(file)

Arguments

file

CSV file with the batsman data obtained with getPlayerData

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

Returns the cleaned batsman dataframe

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

cleanBowlerData getPlayerData batsman4s batsmanMovingAverage

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# clean the dataframe
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
clean(pathToFile)

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.

## End(Not run)

Clean the bowlers data frame

Description

Clean the bowler's CSV fileand remove rows DNB(Did not bowl) & TDNB (Team did not bowl). Also normalize all 8 ball over to a 6 ball over for earlier bowlers

Usage

cleanBowlerData(file)

Arguments

file

The <bowler>.csv file

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

A cleaned bowler data frame with complete cases

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

clean

Examples

## Not run: 

# Get bowling data and store in file for future
# kumble <- getPlayerData(30176,dir="./mytest", file="kumble.csv",type="bowling", 
# homeOrAway=c(1),result=c(1,2))

pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
cleanBowlerData(pathToFile)

# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.

## End(Not run)

Clean the team data for Test, ODI and T20

Description

This function cleans the team data for Test, ODI and T20

Usage

cleanTeamData(df,matchType)

Arguments

df

Data frame
matchType

Match type - Test, ODI, T20

Value

The cleaned Data frame

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests
df<-getTeamDataHomeAway(file="india.csv",teamName="India",matchType='Test')
df1 <-cleanTeamData(df,"Test")

## End(Not run)

Data set for AB Devilliers

Description

Data set for AB Devilliers

Usage

data("devilliers")

Format

The format is: chr "devilliers"

Details

Data set for AB Devilliers

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Calculate the mean Economy Rate

Description

Calculate the mean Economy Rate

Usage

ER(file)

Arguments

file

Input

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

Data set for Sourav Ganguly

Description

Data set for Sourav Ganguly

Usage

data("ganguly")

Format

The format is: chr "ganguly"

Details

Data set for Sourav Ganguly

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Chris Gayle

Description

Data set for Chris Gayle

Usage

data("gayle")

Format

The format is: chr "gayle"

Details

Data set for Chris Gayle

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Get the number of the match type viz.for Test, ODI and T20

Description

This function returns the number of the match type

Usage

getMatchType(matchType)

Arguments

matchType

The match type - Test, ODI or T20

Value

The numerical value of match type

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests

match <-getMatchType("Test")

## End(Not run)

Get the player data from ESPN Cricinfo based on specific inputs and store in a file in a given directory

Description

Get the player data given the profile of the batsman. The allowed inputs are home,away or both and won,lost or draw of matches. The data is stored in a <player>.csv file in a directory specified. This function also returns a data frame of the player

Usage

getPlayerData(profile,opposition="",host="",dir="./data",file="player001.csv",
type="batting", homeOrAway=c(1,2,3),result=c(1,2,4))

Arguments

profile

This is the profile number of the player to get data. This can be obtained from https://www.espncricinfo.com/ci/content/player/index.html. Type the name of the player and click search. This will display the details of the player. Make a note of the profile ID. For e.g For Sachin Tendulkar this turns out to be httsp://www.espncricinfo.com/india/content/player/35320.html. Hence the profile for Sachin is 35320

opposition

The numerical value of the opposition country e.g.Australia,India, England etc. The values are Australia:2,Bangladesh:25,England:1,India:6,New Zealand:5,Pakistan:7,South Africa:3,Sri Lanka:8, West Indies:4, Zimbabwe:9

host

The numerical value of the host country e.g.Australia,India, England etc. The values are Australia:2,Bangladesh:25,England:1,India:6,New Zealand:5,Pakistan:7,South Africa:3,Sri Lanka:8, West Indies:4, Zimbabwe:9

dir

Name of the directory to store the player data into. If not specified the data is stored in a default directory "./data". Default="./data"

file

Name of the file to store the data into for e.g. tendulkar.csv. This can be used for subsequent functions. Default="player001.csv"

type

type of data required. This can be "batting" or "bowling"

homeOrAway

This is onw of 1,2,3. 1 is for home 2 is for away and 3 is for neutral venue

result

This is a vector that can take values 1,2,4. 1 - won match 2- lost match 4- draw

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

Returns the player's dataframe

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

getPlayerDataSp

Examples

## Not run: 
# Both home and away. Result = won,lost and drawn
tendulkar <-getPlayerData(35320,dir="../cricketr/data", file="tendulkar1.csv",
type="batting", homeOrAway=c(1,2,3),result=c(1,2,4))

# Only away. Get data only for won and lost innings
tendulkar <-getPlayerData(35320,dir="../cricketr/data", file="tendulkar2.csv",
type="batting",homeOrAway=c(2),result=c(1,2))

# Get bowling data and store in file for future
kumble <- getPlayerData(30176,dir="../cricketr/data",file="kumble1.csv",
type="bowling",homeOrAway=c(1),result=c(1,2))

#Get the Tendulkar's Performance against Australia in Australia
tendulkar <-getPlayerData(35320, opposition = 2,host=2,dir=".", 
file="tendulkarVsAusInAus.csv",type="batting") 

## End(Not run)

Return the CSV file and a dataframe of a player's matches along with home/away column

Description

This function saves the players data as a CSV file and also returns a data frame. A new column home/away/neutral is added

Usage

getPlayerDataHA(profileNo,tdir=".",tfile="player001.csv",type="batting",
                     matchType="Test")

Arguments

profileNo

The profile number of the player
tdir

The name of the directory to save the CSV file
tfile

The name of the CSV file
type

This parameter should be 'batting' for batsman data and 'bowling' for bowlers
matchType

Match type - Test, ODI or T20

Value

dataframe

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition batsman4s

Examples

## Not run: 
#Get data for Tendulkar
df=getPlayerDataHA(profileno=35320,tfile="tendulkarHA.csv")
#Get the bowling data for Jadeja in ODIs
df=getPlayerDataHA(profileNo=234675,tfile="jadejaODIHA.csv",type="bowling",matchType='ODI')
# Get the data for Kohli in T20s for batting
df=getPlayerDataHA(profileNo=253802,tfile="kohliT20HA.csv",matchType="T20")

## End(Not run)

Get the One day player data from ESPN Cricinfo based on specific inputs and store in a file in a given directory

Description

Get the player data given the profile of the batsman. The allowed inputs are home,away or both and won,lost or draw of matches. The data is stored in a <player>.csv file in a directory specified. This function also returns a data frame of the player

Usage

getPlayerDataOD(profile, opposition="",host="",dir = "../", file = "player001.csv", 
type = "batting", homeOrAway = c(1, 2, 3), result = c(1, 2, 3,5))

Arguments

profile

This is the profile number of the player to get data. This can be obtained from https://www.espncricinfo.com/ci/content/player/index.html. Type the name of the player and click search. This will display the details of the player. Make a note of the profile ID. For e.g For Virender Sehwag this turns out to be https://www.espncricinfo.com/india/content/player/35263.html. Hence the profile for Sehwag is 35263

opposition

The numerical value of the opposition country e.g.Australia,India, England etc. The values are Australia:2,Bangladesh:25,Bermuda:12, England:1,Hong Kong:19,India:6,Ireland:29, Netherlands:15,New Zealand:5,Pakistan:7,Scotland:30,South Africa:3,Sri Lanka:8,United Arab Emirates:27, West Indies:4, Zimbabwe:9; Africa XI:405 Note: If no value is entered for opposition then all teams are considered

host

The numerical value of the host country e.g.Australia,India, England etc. The values are Australia:2,Bangladesh:25,England:1,India:6,Ireland:29,Malaysia:16,New Zealand:5,Pakistan:7, Scotland:30,South Africa:3,Sri Lanka:8,United Arab Emirates:27,West Indies:4, Zimbabwe:9 Note: If no value is entered for host then all host countries are considered

dir

Name of the directory to store the player data into. If not specified the data is stored in a default directory "../data". Default="../data"

file

Name of the file to store the data into for e.g. tendulkar.csv. This can be used for subsequent functions. Default="player001.csv"

type

type of data required. This can be "batting" or "bowling"

homeOrAway

This is vector with either or all 1,2, 3. 1 is for home 2 is for away, 3 is for neutral venue

result

This is a vector that can take values 1,2,3,5. 1 - won match 2- lost match 3-tied 5- no result

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

Returns the player's dataframe

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

getPlayerDataSp getPlayerData

Examples

## Not run: 
# Both home and away. Result = won,lost and drawn
sehwag <-getPlayerDataOD(35263,dir="../cricketr/data", file="sehwag1.csv",
type="batting", homeOrAway=c(1,2),result=c(1,2,3,5))

# Only away. Get data only for won and lost innings
sehwag <-getPlayerDataOD(35263,dir="../cricketr/data", file="sehwag2.csv",
type="batting",homeOrAway=c(2),result=c(1,2))

# Get bowling data and store in file for future
malinga <- getPlayerData(49758,dir="../cricketr/data",file="malinga1.csv",
type="bowling")

# Get Dhoni's ODI record in Australia against Australua
dhoni <- getPlayerDataOD(28081,opposition = 2,host=2,dir=".",
file="dhoniVsAusinAusOD",type="batting")

## End(Not run)

Return a filtered CSV file for a player against specified opposition, at home/away venues during an interval

Description

This function saves the filtered players data as a CSV file for matches against specified opposition, at home.away venues for a specified interval

Usage

getPlayerDataOppnHA(infile,outfile,dir=".",opposition=c("all"),homeOrAway=c("all"),
                          startDate="2001-01-01",endDate="2019-01-01")

Arguments

infile

The input CSV HA file for the player
outfile

The name of the output CSV file which is filtered file based on opposition,home/away for a period
dir

The name of the directory to store output file
opposition

This is a vector of opposition for e.g. c("Australia","India","South Africa"). Default is c("all")
homeOrAway

This is a vector of "home","away" or "neutral". Default is c("all")
startDate

This is a date from which you would like the data for player "yyyy-mm-dd" format
endDate

This is a end date till which you need data to be filtered of "yyyy-mm-dd" format

Value

dataframe

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition batsman4s6s

Examples

## Not run: 
#Get data for Kohli  against England in 'away' venues in the year 2014
df=getPlayerDataOppnHA(infile="kohliHA.csv",outfile="kohliEAN2014.csv",
            opposition=c("England","Australia","New Zealand"),
homeOrAway=c("away"),startDate="2014-01-01",endDate="2015-01-01")

# Get data for Tendulkar between 2001 and 2002
df1=getPlayerDataOppnHA(file,outfile="tendulkar2001.csv",startDate="2001-01-01",
                                                         endDate="2002-01-01")


## End(Not run)

Get the player data along with venue and

Description

This function is a specialized version of getPlayer Data. This function gets the players data along with details on matches' venue (home/abroad) and the result of match(won,lost,drawn) as 2 separate columns (ha & result). The column ha has 1:home and 2: overseas. The column result has values 1:won , 2;lost and :drawn match

Usage

getPlayerDataSp(profileNo, tdir = "./data", tfile = "player001.csv", 
ttype = "batting")

Arguments

profileNo

This is the profile number of the player to get data. This can be obtained from https://www.espncricinfo.com/ci/content/player/index.html. Type the name of the player and click search. This will display the details of the player. Make a note of the profile ID. For e.g For Sachin Tendulkar this turns out to be https://www.espncricinfo.com/india/content/player/35320.html. Hence the profile for Sachin is 35320

tdir

Name of the directory to store the player data into. If not specified the data is stored in a default directory "./data". Default="./tdata"

tfile

Name of the file to store the data into for e.g. tendulkar.csv. This can be used for subsequent functions. Default="player001.csv"

ttype

type of data required. This can be "batting" or "bowling"

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

Returns the player's dataframe along with the homeAway and the result columns

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

getPlayerData

Examples

## Not run: 
# Only away. Get data only for won and lost innings
tendulkar <-getPlayerDataSp(35320,tdir="../cricketr/data", tfile="tendulkarsp.csv",ttype="batting")

# Get bowling data and store in file for future
kumble <- getPlayerDataSp(30176,tdir="../cricketr/data",tfile="kumblesp.csv",ttype="bowling")

## End(Not run)

Get the Twenty20 International player data from ESPN Cricinfo based on specific inputs and store in a file in a given directory~

Description

Get the Twenty20 player data given the profile of the batsman/bowler. The allowed inputs are home,away, neutralboth and won,lost,tied or no result of matches. The data is stored in a <player>.csv file in a directory specified. This function also returns a data frame of the player

Usage

getPlayerDataTT(profile, opposition="",host="",dir = "./data", file = "player001.csv", 
type = "batting", homeOrAway = c(1, 2, 3), result = c(1, 2, 3,5))

Arguments

profile

This is the profile number of the player to get data. This can be obtained from https://www.espncricinfo.com/ci/content/player/index.html. Type the name of the player and click search. This will display the details of the player. Make a note of the profile ID. For e.g For Virat Kohli this turns out to be 253802 https://www.espncricinfo.com/india/content/player/35263.html. Hence the profile for Sehwag is 35263

opposition

The numerical value of the opposition country e.g.Australia,India, England etc. The values are Afghanistan:40,Australia:2,Bangladesh:25,England:1,Hong Kong:19,India:6,Ireland:29, New Zealand:5,Pakistan:7,Scotland:30,South Africa:3,Sri Lanka:8,United Arab Emirates:27, West Indies:4, Zimbabwe:9; Note: If no value is entered for opposition then all teams are considered

host

The numerical value of the host country e.g.Australia,India, England etc. The values are Australia:2,Bangladesh:25,England:1,India:6,New Zealand:5, South Africa:3,Sri Lanka:8,United States of America:11,West Indies:4, Zimbabwe:9 Note: If no value is entered for host then all host countries are considered

dir

Name of the directory to store the player data into. If not specified the data is stored in a default directory "./data". Default="./data"

file

Name of the file to store the data into for e.g. kohli.csv. This can be used for subsequent functions. Default="player001.csv"

type

type of data required. This can be "batting" or "bowling"

homeOrAway

This is vector with either or all 1,2, 3. 1 is for home 2 is for away, 3 is for neutral venue

result

This is a vector that can take values 1,2,3,5. 1 - won match 2- lost match 3-tied 5- no result

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

Returns the player's dataframe

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktRateTT getPlayerData

Examples

## Not run: 
# Only away. Get data only for won and lost innings
kohli <-getPlayerDataTT(253802,dir="../cricketr/data", file="kohli1.csv",
type="batting")

# Get bowling data and store in file for future
ashwin <- getPlayerDataTT(26421,dir="../cricketr/data",file="ashwin1.csv",
type="bowling")

kohli <-getPlayerDataTT(253802,opposition = 2,host=2,dir="../cricketr/data", 
file="kohli1.csv",type="batting")

## End(Not run)

Get the data for a team in a match type viz.for Test, ODI and T20

Description

This function returns team data as a CSV file and/or a dataframe for Test, ODI and T20

Usage

getTeamData(dir=".",file="team001.csv",matchType="Test",
        homeOrAway=c(1,2,3),result=c(1,2,3,4),teamView="bat",save=FALSE,teamName)

Arguments

dir

The directory where the team data CSV file be saved
file

The name of the CSV file to save to
matchType

The match type - Test, ODI , T20
homeOrAway

Whether the data has to be got for home-1, away(overseas)-2 or neutral -3
result

The result of the match for which data is to be saved - won-1, lost -2, tied-3, draw-4
teamView

This can be 'bat' - batting team or 'bowl' - bowling team
save

This can be set as TRUE or FALSE
teamName

This is team name

Value

The required data frame

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests

df=getTeamData(dir=".",file="australia.csv", matchType="Test",homeOrAway=c(1,2,3),
       result=c(1,2,3, 4),teamView='bat',teamName="Australia")

## End(Not run)

Get the data for a team in a match type viz.for Test, ODI and T20 with the home/overseas/neutral

Description

This function returns team data as a CSV file and/or a dataframe for Test, ODI and T20 with an additional column showing home, away or neutral venue where the match was played

Usage

getTeamDataHomeAway(dir=".",teamView="bat",matchType="Test",file="team001HA.csv",
save=TRUE,teamName)

Arguments

dir

The directory where the team data CSV file be saved
teamView

Team view can be either 'bat' (batting team) or 'bowl' (bowling team)
matchType

The match type - Test, ODI , T20
file

The name of te file to save to
save

This can be TRUE or FALSE
teamName

Team name is the team namely - Australia, India, England etc

Value

The required data frame

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests

getTeamDataHomeAway(teamName="India",file="india.csv")

## End(Not run)

Get the number of the Team

Description

This function returns the number of the Team for which analysis is to be done

Usage

getTeamNumber(teamName,matchType)

Arguments

teamName

The name of the team e.g Australia, India, Ghana etc
matchType

The match type - Test, ODI or T20

Value

The numerical value of the team

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests

teamNi <-getTeamNumber(teamName="India",matchType="Test")

## End(Not run)

Data set for Virat Kohli

Description

CSV file Virat Kohl

Usage

data("kohli")

Format

The format is: chr "kohli"

Details

CSV file Virat Kohli

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Virat Kohli

Description

Data set for Virat Kohli

Usage

data("kohli1")

Format

The format is: chr "kohli1"

Details

Data set for Virat Kohli

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Anil Kumble

Description

Data set for Anil Kumble

Usage

data("kumble")

Format

The format is: chr "kumble"

Details

Data set for Anil Kumble

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Anil Kumble

Description

Data set for Anil Kumble

Usage

data("kumble1")

Format

The format is: chr "kumble1"

Details

Data set for Anil Kumble

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Anil Kumble

Description

Data set for Anil Kumble

Usage

data("kumblesp")

Format

The format is: chr "kumblesp"

Details

Data set for Anil Kumble

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Lasith Malinga

Description

Data set for Lasith Malinga

Usage

data("malinga")

Format

The format is: chr "malinga"

Details

Data set for Lasith Malinga

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Examples

data(malinga)
## maybe str(malinga) ; plot(malinga) ...

Data set for Lasith Malinga

Description

Data set for Lasith Malinga

Usage

data("malinga1")

Format

The format is: chr "malinga1"

Details

Data set for Lasith Malinga

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Glenn Maxwell

Description

Data set for Glenn Maxwell

Usage

data("maxwell")

Format

The format is: chr "maxwell"

Details

Data set for Glenn Maxwell

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Ajantha Mendis

Description

Data set for Ajantha Mendis

Usage

data("mendis")

Format

The format is: chr "mendis"

Details

Data set for Ajantha Mendis

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Mitchell Johnson

Description

Data set for Mitchell Johnson

Usage

data("mitchell")

Format

The format is: chr "mitchell"

Details

Data set for Mitchell Johnson

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Muthiah Muralitharan

Description

Data set for Muthiah Muralitharan

Usage

data("murali")

Format

The format is: chr "murali"

Details

Data set for Muthiah Muralitharan

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Sunil Narine

Description

Data set for Sunil Narine

Usage

data("narine")

Format

The format is: chr "narine"

Details

Data set for Sunil Narine

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Calculate the percent runs in each run range

Description

Calculate the percent runs in each 10 run range

Usage

percentRuns(file)

Arguments

file

Input

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

Calculate the percentage of wickets taken by bowler

Description

Calculate the percentage wickets taken by bowler

Usage

percentWkts(file)

Arguments

file

Data frame

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None.

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

Plot the time line of wins/losses/draw/tied etc for a Team in Test, ODI or T20

Description

This function returns plots a time line of won,lost,draw,tied or no result for a team against other teams in home/away or neutral venues

Usage

plotTimelineofWinsLosses(file,teamName,opposition=c("all"),homeOrAway=c("all"),
      startDate="2001-01-01",endDate="2019-01-01",matchType="Test")

Arguments

file

The CSV file for which the plot is required
teamName

The name of the team for which plot is required
opposition

Opposition is a vector namely c("all") or c("Australia", "India", "England")
homeOrAway

This parameter is a vector which is either c("all") or a vector of venues c("home","away","neutral")
startDate

The start date from which time line is required
endDate

The end data for which the time line plot is required
matchType

Match type - Test, ODI or T20

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests

df <- getTeamDataHomeAway(teamName="India",file="indiaOD.csv",matchType="ODI")
plotTimelineofWinsLosses("indiaOD.csv",teamName="India",
        startDate="2015-01-01",endDate="2019-01-01", matchType="ODI")

## End(Not run)

Relative batsman's cumulative average runs

Description

This function computes and plots the relative cumulative average runs of batsmen

Usage

relativeBatsmanCumulativeAvgRuns(frames, names)

Arguments

frames

This is a list of <batsman>.csv files obtained with an initial getPlayerData()

names

A list of batsmen names who need to be compared

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

relativeBatsmanCumulativeStrikeRate relativeBowlerCumulativeAvgEconRate relativeBowlerCumulativeAvgWickets

Examples

## Not run: 
# Retrieve the file path of a data file installed with cricketr
tendulkar <- system.file("data", "tendulkar.csv", package = "cricketr")
ganguly <- system.file("data", "ganguly.csv", package = "cricketr")

batsmen <- list(tendulkar,ganguly)
names <- list("Tendulkar","Ganguly")
relativeBatsmanCumulativeAvgRuns(batsmen,names)

## End(Not run)

Relative batsmen cumulative average strike rate

Description

This function computes and plots the cumulative average strike rate of batsmen

Usage

relativeBatsmanCumulativeStrikeRate(frames, names)

Arguments

frames

This is a list of <batsman>.csv files obtained with an initial getPlayerData()

names

A list of batsmen names who need to be compared

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

relativeBatsmanCumulativeAvgRuns relativeBowlerCumulativeAvgEconRate relativeBowlerCumulativeAvgWickets

Examples

## Not run: 
# Retrieve the file path of a data file installed with cricketr
tendulkar <- system.file("data", "tendulkar.csv", package = "cricketr")
ganguly <- system.file("data", "ganguly.csv", package = "cricketr")

batsmen <- list(tendulkar,ganguly)
names <- list("Tendulkar","Ganguly")
relativeBatsmanCumulativeStrikeRate(batsmen,names)

## End(Not run)

Calculate and plot the relative Mean Strike Rate (SR) for each batsman

Description

Calculate and plot the relative MEan Strike Rate (SR) for each batsman

Usage

relativeBatsmanSR(frames, names)

Arguments

frames

This is a list of <batsman>.csv files obtained with an initial getPlayerData()

names

A list of batsmen names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get the list of the <batsman>.csv files obtained with getPlayerData() for batsmen to be compared
# tendulkar  <- getPlayerData(35320,file="tendulkar.csv",
#type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
tendulkar <- system.file("data", "tendulkar.csv", package = "cricketr")
ganguly <- system.file("data", "ganguly.csv", package = "cricketr")

batsmen <- list(tendulkar,ganguly)
names <- list("Tendulkar","Ganguly")
relativeBatsmanSR(batsmen,names)

#Note: This example uses the /data directory for the files. However
#you can use any directory as long as the data files exists in that directory.

## End(Not run)

Calculate and plot the relative Mean Strike Rate (SR) for each batsman for ODI or Twenty20 batsmen

Description

Calculate and plot the relative MEan Strike Rate (SR) for each batsman for ODI or Twenty20 batsmen

Usage

relativeBatsmanSRODTT(frames, names)

Arguments

frames

This is a list of <batsman>.csv files obtained with an initial getPlayerDataOD() or getPlayerTT()

names

A list of batsmen names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanScoringRateODTT relativeRunsFreqPerfODTT batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerDataOD() or getPlayerTT()
#sehwag <-getPlayerData(35263,dir="./mytest", file="sehwag.csv",
#type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
sehwag <- system.file("data", "sehwag.csv", package = "cricketr")
devilliers <- system.file("data", "devilliers.csv", package = "cricketr")
gayle <- system.file("data", "gayle.csv", package = "cricketr")
maxwell <- system.file("data", "maxwell.csv", package = "cricketr")

batsmen <- list(sehwag,devilliers,gayle,maxwell)
names <- list("Sehwag","Devilliers","Gayle","Maxwell")
relativeBatsmanSRODTT(batsmen,names)

# Note: This example uses the /data directory for the files. However
# you can use any directory as long as the data files exists in that directory.

## End(Not run)

Relative Bowler's cumulative average economy rate

Description

This function computes and plots the relative cumulative average economy rate of bowlers

Usage

relativeBowlerCumulativeAvgEconRate(frames, names)

Arguments

frames

This is a list of <bowler>.csv files obtained with an initial getPlayerData()

names

A list of Twenty20 bowlers names who need to be compared

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

relativeBatsmanCumulativeAvgRuns relativeBowlerCumulativeAvgWickets relativeBatsmanCumulativeStrikeRate

Examples

## Not run: 
# Retrieve the file path of a data file installed with cricketr
kumble <- system.file("data", "kumble.csv", package = "cricketr")
warne <- system.file("data", "warne.csv", package = "cricketr")
murali <- system.file("data", "murali.csv", package = "cricketr")

frames <- list(kumble,warne,murali)
names <- c("Kumble","Warne","Murali")
relativeBowlerCumulativeAvgEconRate(frames,names)

## End(Not run)

Relative bowlers cumulative average wickets

Description

This function computes and plots the relative cumulative average wickets of a bowler

Usage

relativeBowlerCumulativeAvgWickets(frames, names)

Arguments

frames

This is a list of <bowler>.csv files obtained with an initial getPlayerData()

names

A list of Twenty20 bowlers names who need to be compared

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

relativeBatsmanCumulativeAvgRuns relativeBowlerCumulativeAvgEconRate relativeBatsmanCumulativeStrikeRate

Examples

## Not run: )

# Retrieve the file path of a data file installed with cricketr
kumble <- system.file("data", "kumble.csv", package = "cricketr")
warne <- system.file("data", "warne.csv", package = "cricketr")
murali <- system.file("data", "murali.csv", package = "cricketr")

frames <- list(kumble,warne,murali)
names <- c("Kumble","Warne","Murali")
relativeBowlerCumulativeAvgWickets(frames,names)

## End(Not run)

Compute and plot the relative mean Economy Rate(ER) of the bowlers

Description

This function computes and plots the relative Economy Rate of the bowlers

Usage

relativeBowlingER(frames, names)

Arguments

frames

This is a list of <bowler>.csv files obtained with an initial getPlayerData()

names

A list of Twenty20 bowlers names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingPerf bowlerHistWickets

Examples

## Not run: 
# Get the list of the <batsman>.csv files obtained with getPlayerData() for batsmen to be compared
# kumble  <- getPlayerData(30176,file="kumble.csv",type="bowling", 
# homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
kumble <- system.file("data", "kumble.csv", package = "cricketr")
warne <- system.file("data", "warne.csv", package = "cricketr")
murali <- system.file("data", "murali.csv", package = "cricketr")

frames <- list(kumble,warne,murali)
names <- c("Kumble","Warne","Murali")
relativeBowlingER(frames,names)

# Note: This example uses the /data directory for the files. However
# you can use any directory as long as the data files exists in that directory.

## End(Not run)

Compute and plot the relative mean Economy Rate(ER) of the bowlers for ODI or Twenty20

Description

This function computes and plots the relative Economy Rate of the bowlers for ODI or Twenty20

Usage

relativeBowlingERODTT(frames, names)

Arguments

frames

This is a list of <bowler>.csv files obtained with an initial getPlayerDataOD() or getPlayerTT()

names

A list of bowlers names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

relativeBatsmanSRODTT relativeRunsFreqPerfODTT

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(47492,file="steyn.csv",type="bowling", 
# homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
steyn <- system.file("data", "steyn.csv", package = "cricketr")
mitchell <- system.file("data", "mitchell.csv", package = "cricketr")
southee <- system.file("data", "southee.csv", package = "cricketr")
malinga <- system.file("data", "malinga.csv", package = "cricketr")

frames <- list(steyn,mitchell,southee,malinga)
names <- c("Steyn","Mitchell","Southee","Malinga")
relativeBowlingERODTT(frames,names)

# Note: This example uses the /data directory for the files. However
# you can use any directory as long as the data files exists in that directory.

## End(Not run)

Plot the relative performances of bowlers

Description

This function calculates and plots the relative performance of the suers

Usage

relativeBowlingPerf(frames, names)

Arguments

frames

This is a list of <bowler>.csv files obtained with an initial getPlayerData()

names

A list of bowlers names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingER bowlerHistWickets

Examples

## Not run: 
# Get the list of the <batsman>.csv files obtained with getPlayerData() for batsmen to be compared
# kumble  <- getPlayerData(30176,file="kumble.csv",type="bowling", 
# homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
kumble <- system.file("data", "kumble.csv", package = "cricketr")
warne <- system.file("data", "warne.csv", package = "cricketr")
murali <- system.file("data", "murali.csv", package = "cricketr")

frames <- list(kumble,warne,murali)
names <- c("Kumble","Warne","Murali")
relativeBowlingPerf(frames,names)

# Note: This example uses the /data directory for the files. However
# you can use any directory as long as the data files exists in that directory.

## End(Not run)

Calculate and compute the relative run frequencies of a list of cricketers

Description

This function computes the run frequencies in ranges of 10 and plots these for a list of batsmen

Usage

relativeRunsFreqPerf(frames, names)

Arguments

frames

This is a list of <batsman>.csv files obtained with an initial getPlayerData()

names

A list of batsmen names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanDismissals, batsmanMovingAverage, batsmanPerfBoxHist

Examples

## Not run: 
# Get the list of the <batsman>.csv files obtained with getPlayerData() for batsmen to be compared
# tendulkar <- getPlayerData(35320,file="tendulkar.csv",type="batting",
# homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
tendulkar <- system.file("data", "tendulkar.csv", package = "cricketr")
ganguly <- system.file("data", "ganguly.csv", package = "cricketr")

batsmen <- list(tendulkar,ganguly)
names <- list("Tendulkar","Ganguly")
relativeRunsFreqPerf(batsmen,names)

# Note: This example uses the /data directory for the files. However
# you can use any directory as long as the data files exists in that directory.

## End(Not run)

Calculate and compute the relative run frequencies of a list of cricketers

Description

This function computes the run frequencies in ranges of 10 and plots these for a list of batsmen

Usage

relativeRunsFreqPerfODTT(frames, names)

Arguments

frames

This is a list of <batsman>.csv files obtained with an initial getPlayerDataOD() or getPlayerTT()

names

A list of batsmen names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanScoringRateODTT, relativeRunsFreqPerfODTT, batsmanPerfBoxHist

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerDataOD() or getPlayerTT()
#sehwag <-getPlayerData(35263,dir="./mytest", file="sehwag.csv",
#type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
sehwag <- system.file("data", "sehwag.csv", package = "cricketr")
devilliers <- system.file("data", "devilliers.csv", package = "cricketr")
gayle <- system.file("data", "gayle.csv", package = "cricketr")
maxwell <- system.file("data", "maxwell.csv", package = "cricketr")

batsmen <- list(sehwag,devilliers,gayle,maxwell)
names <- list("Sehwag","Devilliers","Gayle","Maxwell")
relativeRunsFreqPerfODTT(batsmen,names)

# Note: This example uses the /data directory for the files. However
# you can use any directory as long as the data files exists in that directory.

## End(Not run)

Compute and plot the relative Mean Wicket Rate of the bowlers in Twenty20 International

Description

This function computes and plots the relative Wicket Rate of the bowlers in Twenty20 International

Usage

relativeWktRateTT(frames, names)

Arguments

frames

This is a list of Twenty20 <bowler>.csv files obtained with an initial getPlayerDataTT()

names

A list of bowlers names who need to be compared

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

bowlerWktsFreqPercent relativeBowlingPerf bowlerHistWickets bowlerWktRateTT

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerDataTT(26421,dir=".",file="ashwin.csv",type="bowling", 
# homeOrAway=c(1,2,3), result=c(1,2,3,5))

# Retrieve the file path of a data file installed with cricketr
mendis <- system.file("data", "mendis.csv", package = "cricketr")
narine  <- system.file("data", "narine.csv", package = "cricketr")
badree <- system.file("data", "badree.csv", package = "cricketr")

frames <- list(mendis, badree,narine)
names <- c("Mendis","Badree","Narine")
relativeWktRateTT(frames,names)

#Note: This example uses the /data directory for the files. However
#you can use any directory as long as the data files exists in that directory.

## End(Not run)

Data set for Virendar Sehwag

Description

Data set for Virendar Sehwag

Usage

data("sehwag")

Format

The format is: chr "sehwag"

Details

Data set for Virendar Sehwag

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Virendar Sehwag

Description

Data set for Virendar Sehwag

Usage

data("sehwag1")

Format

The format is: chr "sehwag1"

Details

Data set for Virendar Sehwag

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Virendar Sehwag

Description

Data set for Virendar Sehwag

Usage

data("sehwag2")

Format

The format is: chr "sehwag2"

Details

Data set for Virendar Sehwag

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Tim Southee

Description

Data set for Tim Southee

Usage

data("southee")

Format

The format is: chr "southee"

Details

Data set for Tin Southee

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Dale Steyn

Description

Data set for Dale Steyn

Usage

data("steyn")

Format

The format is: chr "steyn"

Details

Data set for Dale Steyn

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Compute the wins/losses/draw/tied etc for a Team in Test, ODI or T20 at venues

Description

This function computes the won,lost,draw,tied or no result for a team against other teams in home/away or neutral venues and either returns a dataframe or plots it for grounds

Usage

teamWinLossStatusAtGrounds(file,teamName,opposition=c("all"),homeOrAway=c("all"),
              matchType="Test",plot=FALSE)

Arguments

file

The CSV file for which the plot is required
teamName

The name of the team for which plot is required
opposition

Opposition is a vector namely c("all") or c("Australia", "India", "England")
homeOrAway

This parameter is a vector which is either c("all") or a vector of venues c("home","away","neutral")
matchType

Match type - Test, ODI or T20
plot

If plot=FALSE then a data frame is returned, If plot=TRUE then a plot is generated

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests

df <- getTeamDataHomeAway(teamName="India",file="indiaOD.csv",matchType="ODI")
teamWinLossStatusAtGrounds("india.csv",teamName="India",opposition=c("Australia","England","India"),
                          homeOrAway=c("home","away"),plot=TRUE)

## End(Not run)

Compute the wins/losses/draw/tied etc for a Team in Test, ODI or T20 against opposition

Description

This function computes the won,lost,draw,tied or no result for a team against other teams in home/away or neutral venues and either returns a dataframe or plots it against opposition

Usage

teamWinLossStatusVsOpposition(file,teamName,opposition=c("all"),homeOrAway=c("all"),
      matchType="Test",plot=FALSE)

Arguments

file

The CSV file for which the plot is required
teamName

The name of the team for which plot is required
opposition

Opposition is a vector namely c("all") or c("Australia", "India", "England")
homeOrAway

This parameter is a vector which is either c("all") or a vector of venues c("home","away","neutral")
matchType

Match type - Test, ODI or T20
plot

If plot=FALSE then a data frame is returned, If plot=TRUE then a plot is generated

Value

None

Note

Maintainer: Tinniam V Ganesh [email protected]

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

teamWinLossStatusVsOpposition teamWinLossStatusAtGrounds plotTimelineofWinsLosses

Examples

## Not run: 
#Get the team data for India for Tests

df <- getTeamDataHomeAway(teamName="India",file="indiaOD.csv",matchType="ODI")
teamWinLossStatusAtGrounds("india.csv",teamName="India",opposition=c("Australia","England","India"),
                          homeOrAway=c("home","away"),plot=TRUE)

## End(Not run)

Data set for Sachin Tendulkar

Description

Data set for Sachin Tendulkar

Usage

data("tendulkar")

Format

The format is: chr "tendulkar"

Details

Data set for Sachin Tendulkar

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Sachin Tendulkar

Description

Data set for Sachin Tendulkar

Usage

data("tendulkar1")

Format

The format is: chr "tendulkar1"

Details

Data set for Sachin Tendulkar

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Sachin Tendulkar

Description

Data set for Sachin Tendulkar

Usage

data("tendulkar2")

Format

The format is: chr "tendulkar2"

Details

Data set for Sachin Tendulkar

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Sachin Tendulkar

Description

Data set for Sachin Tendulkar

Usage

data("tendulkarsp")

Format

The format is: chr "tendulkarsp"

Details

Data set for Sachin Tendulkar

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

Data set for Shane Warne

Description

Data set for Shane Warne

Usage

data("warne")

Format

The format is: chr "warne"

Details

Data set for Shane Warne

Source

https://www.espncricinfo.com/ci/content/stats/index.html

References

https://www.espncricinfo.com/ci/content/stats/index.html

This function caculates the wicket rate vs mean number of deliveries

Description

This function caculates the wicket rate vs mean number of deliveries

Usage

WR(file)

Arguments

file

Name of file

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[email protected]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (file) 
{
    bowler <- clean(file)
    wktRate <- NULL
    w <- NULL
    for (i in 0:max(as.numeric(as.character(bowler$Wkts)))) {
        balls <- bowler[bowler$Wkts == i, ]$Overs * 6
        if (length(balls != 0)) {
            wktRate[i] <- lapply(list(balls), mean)
            w[i] <- i
        }
    }
    a <- sapply(wktRate, is.null)
    wktRate[a] <- NaN
    wktRate
  }