Class intervals for a histogram, the rule of Sturges

Source: R/sturges.freq.R

if k=0 then classes: k = 1 + log(n,2). if k > 0, fixed nclass.

sturges.freq(x, k = 0)

Arguments

x

vector
k

constant

Value

Statistics of sturges for a histogram.

References

Reza A. Hoshmand. 1988. Statistical Methods for Agricultural Sciences, Timber Press, Incorporated, pag 18-21.

See also

polygon.freq, table.freq, stat.freq, intervals.freq, graph.freq, join.freq, ogive.freq, normal.freq

Examples


library(agricolae)
data(natives)
classes<-with(natives,sturges.freq(size))
# information of the classes
breaks <- classes$breaks
breaks
#>  [1] 0.0010 0.0099 0.0188 0.0277 0.0366 0.0455 0.0544 0.0633 0.0722 0.0811
#> [11] 0.0900 0.0989 0.1078
#startgraph
# Histogram with the established classes
h<-with(natives,graph.freq(size,breaks,frequency=1, col="yellow",axes=FALSE,
    xlim=c(0,0.12),main="",xlab="",ylab=""))
axis(1,breaks,las=2)
axis(2,seq(0,400,50),las=2)
title(main="Histogram of frequency\nSize of the tubercule of the Oca",
xlab="Size of the oca", ylab="Frequency")
#endgraph