cutQuantiles: cutQuantiles
In twMisc: Utility functions of tw

Description Usage Arguments Details Value Author(s) See Also Examples

Cut a Numeric Variable into Intervals of about same number of observations.

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cutQuantiles(x, cuts, m = 150, g, levels.mean = FALSE, 
    digits, minmax = TRUE, oneval = TRUE, onlycuts = FALSE, 
    onlymeans = FALSE)

`x`	numeric vector to classify into intervals
`cuts`	cut points
`m`	desired minimum number of observations in a group
`g`	number of quantile groups
`levels.mean`	set to TRUE to make the new categorical vector have levels attribute that is the group means of x instead of interval endpoint labels
`digits`	number of significant digits to use in constructing levels. Default is 3 (5 if levels.mean=TRUE)
`minmax`	if cuts is specified but min(x)<min(cuts) or max(x)>max(cuts), augments cuts to include min and max x
`oneval`	if an interval contains only one unique value, the interval will be labeled with the formatted version of that value instead of the interval endpoints, unless oneval=FALSE
`onlycuts`	set to TRUE to only return the vector of computed cuts. This consists of the interior values plus outer ranges.
`onlymeans`	set to TRUE to only return the means of x within each group

copied from Hmisc:cutQuantiles to reduce package dependencies.

a factor variable with levels of the form [a,b) or formatted means (character strings) unless onlycuts is TRUE in which case a numeric vector is returned

Thomas Wutzler

cut,quantile

seqRange, twMisc

set.seed(1)
x <- runif(1000, 0, 100)
z <- cutQuantiles(x, c(10,20,30))
table(z)
table(cutQuantiles(x, g=10))      # quantile groups
cutQuantiles(x, g=10, onlymeans=TRUE)     # get only the means of each group
table(cutQuantiles(x, m=50))      # group x into intevals with at least 50 obs.