
jitter(x, factor = 1, amount = NULL)
= 0
the default is factor * z/50
. Default (NULL
): factor * d/5
where d
is about
the smallest difference between x
values.
jitter(x, …)
returns a numeric of the same length as
x
, but with an amount
of noise added in order to break
ties.r
, is r <- x + runif(n, -a, a)
where n <- length(x)
and a
is the amount
argument (if specified). Let z <- max(x) - min(x)
(assuming the usual case).
The amount a
to be added is either provided as positive
argument amount
or otherwise computed from z
, as
follows: If amount == 0
, we set a <- factor * z/50
(same as S). If amount
is NULL
(default), we set
a <- factor * d/5
where d is the smallest
difference between adjacent unique (apart from fuzz) x
values.rug
which you may want to combine with jitter
.round(jitter(c(rep(1, 3), rep(1.2, 4), rep(3, 3))), 3)
## These two 'fail' with S-plus 3.x:
jitter(rep(0, 7))
jitter(rep(10000, 5))
Run the code above in your browser using DataLab