Description Usage Format References Examples
The swiss data set consists of measurements on the width of bottom margin and image diagonal length for forged and real notes. Histogram smoothing method is applied to understand the width of bottom margins for the forged notes.
1 |
A data frame with 100 observations on the following 4 variables.
Bottforgbottom margin of forged notes
Diagforgdiagonal margin of forged notes
Bottrealbottom margin of real notes
Diagrealdiagonal margin of real notes
Simonoff, J.S. (1996). Smoothing Methods in Statistics. Springer.
1 2 3 4 5 6 7 8 | data(swiss)
par(mfrow=c(1,3))
hist(swiss$Bottforg,breaks=28,probability=TRUE,col=0,ylim=c(0,.5),
xlab="Margin width (mm)",ylab="Density")
hist(swiss$Bottforg,breaks=12,probability=TRUE,col=0,ylim=c(0,.5),
xlab="Margin width (mm)",ylab="Density")
hist(swiss$Bottforg,breaks=6,probability=TRUE,col=0,ylim=c(0,.5),
xlab="Margin width (mm)",ylab="Density")
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