bowlerWinProbDL: Plot the Bowler win probability contribution using Deep...

In tvganesh/yorkr: Analyze Cricket Performances Based on Data from Cricsheet

Plot the Bowler win probability contribution using Deep Learning model

Description

This function plots the win probability of bowlers in a T20 match

Usage

bowlerWinProbDL(match,t1,t2,plot=1)

Arguments

match	The dataframe of the match
t1	The 1st team of the match
t2	the 2nd team in the match
plot	Plot=1 (static), Plot=2(interactive)

Value

none

Note

Maintainer: Tinniam V Ganesh [e-mail]

Author(s)

Tinniam V Ganesh

References

https://cricsheet.org/
https://gigadom.in/
https://github.com/tvganesh/yorkrData/

See Also

getBatsmanDetails
getBowlerWicketDetails
batsmanDismissals
getTeamBattingDetails

Examples

## Not run: 
#Get the match details
a <- getMatchDetails("England","Pakistan","2006-09-05",dir="../temp")

# t
bowlerWinProbDL(a,'England',"Pakistan")

## End(Not run)

tvganesh/yorkr documentation built on May 13, 2023, 12:19 p.m.