fumbles: NCAA football fumbles

Description Format Details Source Examples

Description

This data frame gives the number of fumbles by each NCAA FBS team for the first three weeks in November, 2010.

Format

A data frame with 120 observations on the following 7 variables.

Details

The fumble counts listed here are total fumbles, not fumbles lost. Some of these fumbles were recovered by the team that fumbled.

Source

http://www.teamrankings.com/college-football/stat/fumbles-per-game

Examples

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data(fumbles)
m <- max(fumbles$week1)
table(factor(fumbles$week1,levels=0:m))
favstats( ~ week1, data=fumbles)
# compare with Poisson distribution
signif( cbind(
		  fumbles=0:m,
		  observedCount=table(factor(fumbles$week1,levels=0:m)),
		  modelCount= 120* dpois(0:m,mean(fumbles$week1)),
		  observedPct=table(factor(fumbles$week1,levels=0:m))/120,
		  modelPct= dpois(0:m,mean(fumbles$week1))
	) ,3)
showFumbles <- function(x,lambda=mean(x),...) {
	mx <- max(x)
    result <- histogram(~x, type="density", xlim=c(-.5,(mx+2.5)),
		xlab='number of fumbles',
        panel=function(x,y,...){
            panel.histogram(x,alpha=0.8,breaks=seq(-0.5,(mx+2.5),by=1,...))
            panel.points(0:(mx+2),dpois(0:(mx+2),lambda),pch=19,alpha=0.8)
        }
    )
    print(result)
    return(result)
}
showFumbles(fumbles$week1)
showFumbles(fumbles$week2)
showFumbles(fumbles$week3)

fastR documentation built on May 29, 2017, 3:33 p.m.

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