ACSWR: swiss – R documentation

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swiss

Forged Swiss Bank Notes

Description

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.

Usage

data(swiss)

Format

A data frame with 100 observations on the following 4 variables.

Bottforg: bottom margin of forged notes
Diagforg: diagonal margin of forged notes
Bottreal: bottom margin of real notes
Diagreal: diagonal margin of real notes

References

Simonoff, J.S. (1996). Smoothing Methods in Statistics. Springer.

Examples

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")

ACSWR

A Companion Package for the Book "A Course in Statistics with R"

v1.0

GPL-2

Authors

Prabhanjan Tattar

Initial release

2015-09-05