nclass {grDevices} | R Documentation |
Compute the number of classes for a histogram.
nclass.Sturges(x) nclass.scott(x) nclass.FD(x)
x |
A data vector. |
nclass.Sturges
uses Sturges' formula, implicitly basing bin
sizes on the range of the data.
nclass.scott
uses Scott's choice for a normal distribution based on
the estimate of the standard error.
nclass.FD
uses the
Freedman-Diaconis choice based on the inter-quartile range.
The suggested number of classes.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S-PLUS. Springer, page 112.
Freedman, D. and Diaconis, P. (1981) On the histogram as a density estimator: L_2 theory. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete 57, 453–476.
Scott, D. W. (1979) On optimal and data-based histograms. Biometrika 66, 605–610.
Scott, D. W. (1992) Multivariate Density Estimation. Theory, Practice, and Visualization. Wiley.