Description Usage Format Details Source Examples
This data frame gives the number of fumbles by each NCAA FBS team for the first three weeks in November, 2010.
1 |
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
The fumble counts listed here are total fumbles, not fumbles lost. Some of these fumbles were recovered by the team that fumbled.
http://www.teamrankings.com/college-football/stat/fumbles-per-game
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | data(fumbles)
m <- max(fumbles$week1)
table(factor(fumbles$week1,levels=0:m))
favstats(fumbles$week1)
# compare with Poisson distribution
signif( cbind(
fumbles=0:m,
observedCount=table(factor(fumbles$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)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.