Cut numeric vector into non-empty intervals
Discretizes a numeric vector.
Divides the range of x into intervals, so that each interval contains a minimum number of values, and codes the values in x according to which interval they fall into.
cutWithMinN(x, intervals=2, min.n=1)
x |
numeric vector. |
intervals |
number of intervals required. |
min.n |
minimum number of values in any interval. Must be less than or equal to |
This function strikes a compromise between the base functions cut,
which by default cuts a vector into equal length intervals,
and quantile, which is suited to finding equally populated intervals.
It finds a partition of the x values that is as close as possible to equal length intervals while keeping at least min.n values in each interval.
Tied values of x are broken by random jittering, so the partition may vary slightly from run to run if there are many tied values.
A list with components:
group |
integer vector of same length as |
breaks |
numeric vector of length |
Gordon Smyth
x <- c(1,2,3,4,5,6,7,100) cutWithMinN(x,intervals=3,min.n=1)
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