fastR (version 0.10.3)

fumbles: NCAA football fumbles

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.

• team NCAA football team

• rank rank based on fumbles per game through games on November 26, 2010

• W number of wins through games on November 26, 2010

• L number of losses through games on November 26, 2010

• week1 number of fumbles on November 6, 2010

• week2 number of fumbles on November 13, 2010

• week3 number of fumbles on November 20, 2010

Details

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

Examples

# NOT RUN {
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)

# }