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

Description Usage Arguments Value References Examples

View source: R/outlier-hist.R

Description

Compute the Number of Classes for a Histogram

Usage

1

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

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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))

bigutilsr documentation built on April 14, 2021, 1:06 a.m.