vcdExtra: cutfac – R documentation

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cutfac

Cut a Numeric Variable to a Factor

Description

cutfac acts like cut, dividing the range of x into intervals and coding the values in x according in which interval they fall. However, it gives nicer labels for the factor levels and by default chooses convenient breaks among the values based on deciles.

It is particularly useful for plots in which one wants to make a numeric variable discrete for the purpose of getting boxplots, spinograms or mosaic plots.

Usage

cutfac(x, breaks = NULL, q = 10)

Arguments

`x`	a numeric vector which is to be converted to a factor by cutting
`breaks`	either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which `x` is to be cut.
`q`	the number of quantile groups used to define `breaks`, if that has not been specified.

Details

By default, cut chooses breaks by equal lengths of the range of x, whereas cutfac uses quantile to choose breaks of roughly equal count.

Value

A factor corresponding to x is returned

Author(s)

Achim Zeileis

References

Friendly, M. and Meyer, D. (2016). Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data. Boca Raton, FL: Chapman & Hall/CRC. http://ddar.datavis.ca.

Examples

if (require(AER)) {
data("NMES1988", package="AER")
nmes <- NMES1988[, c(1, 6:8, 13, 15, 18)]

plot(log(visits+1) ~ cutfac(chronic), data = nmes,
  ylab = "Physician office visits (log scale)", 
  xlab = "Number of chronic conditions", main = "chronic")

plot(log(visits+1) ~ cutfac(hospital, c(0:2, 8)), data = nmes,
  ylab = "Physician office visits (log scale)", 
  xlab = "Number of hospital stays", main = "hospital")
}

vcdExtra

'vcd' Extensions and Additions

v0.7-5

GPL (>= 2)

Authors

Michael Friendly [aut, cre], Heather Turner [ctb], Achim Zeileis [ctb], Duncan Murdoch [ctb], David Firth [ctb]

Initial release

2021-01-22