Add a small amount of noise to a numeric vector.
numeric vector to which jitter should be added.
numeric; if positive, used as amount (see below),
The result, say
r <- x + runif(n, -a, a)
n <- length(x) and
a is the
argument (if specified).
z <- max(x) - min(x) (assuming the usual case).
a to be added is either provided as positive
amount or otherwise computed from
amount == 0, we set
a <- factor * z/50 (same as S).
NULL (default), we set
a <- factor * d/5 where d is the smallest
difference between adjacent unique (apart from fuzz)
jitter(x, ...) returns a numeric of the same length as
x, but with an
amount of noise added in order to break
Werner Stahel and Martin Maechler, ETH Zurich
Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P.A. (1983) Graphical Methods for Data Analysis. Wadsworth; figures 2.8, 4.22, 5.4.
Chambers, J. M. and Hastie, T. J. (1992) Statistical Models in S. Wadsworth & Brooks/Cole.
rug which you may want to combine with
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