nclass.scottRob: Compute the Number of Classes for a Histogram

View source: R/outlier-hist.R

nclass.scottRobR Documentation

Compute the Number of Classes for a Histogram

Description

Compute the Number of Classes for a Histogram

Usage

nclass.scottRob(x)

Arguments

x

a data vector.

Value

The suggested number of classes.

References

Scott, D. W. (1979). On optimal and data-based histograms. Biometrika, 66, 605–610. doi: 10.2307/2335182.

Examples

x <- rnorm(1000)
hist(x, breaks = nclass.scott)
hist(x, breaks = nclass.scottRob)

x2 <- c(x, rnorm(50, mean = 50))
hist(x2, breaks = nclass.scott)
hist(x2, breaks = nclass.scott,    xlim = c(-5, 5))
hist(x2, breaks = nclass.scottRob, xlim = c(-5, 5))


privefl/bigutilsr documentation built on Jan. 27, 2024, 5:33 a.m.