fisher_classify: Fisher's natural breaks classification

Description

fisher_classify() is deprecated as of version 0.8.0 because Fisher-Jenks classification is not directly linked to the insurance rating workflow.

Classifies a continuous numeric vector into intervals using Fisher-Jenks natural breaks. Useful for choropleth mapping or other applications where grouped ranges are required.

Usage

fisher_classify(x, n = 7, dig.lab = NULL, diglab = NULL)

Value

A factor indicating the interval to which each element of x

belongs.

Arguments

x: A numeric vector to be classified.
n: Integer. Number of classes to generate (default = 7).
dig.lab: Integer. Number of significant digits to use for interval labels (default = 2).
diglab: Deprecated. Use dig.lab instead.

Author

Martin Haringa

Details

The "fisher" style uses the algorithm proposed by Fisher (1958), commonly referred to as the Fisher-Jenks algorithm. This function is a thin wrapper around classInt::classIntervals().

The argument diglab is deprecated and will be removed in a future version.

References

Bivand, R. (2018). classInt: Choose Univariate Class Intervals. R package version 0.2-3. https://CRAN.R-project.org/package=classInt

Fisher, W. D. (1958). On grouping for maximum homogeneity. Journal of the American Statistical Association, 53, pp. 789–798. doi:10.1080/01621459.1958.10501479

Examples

Run this code

set.seed(1)
x <- rnorm(100)
fisher_classify(x, n = 5)

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