Description Usage Arguments Details Value Note Author(s) References See Also Examples
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
1 | checkBowlerInForm(file, name = "A N Inswinger", alpha = 0.05)
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file |
This is the <bowler>.csv file obtained with an initial getPlayerData() |
name |
Name of the bowler |
alpha |
Significance value |
More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI
None
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>
Tinniam V Ganesh
http://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.wordpress.com/
bowlerMovingAverage
batsmanPerfForecast
bowlerContributionWonLost
1 2 3 4 | # 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))
checkBowlerInForm("../cricketr/data/kumble.csv","Anil Kumble")
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