Density, distribution function, quantile function and random generation for the distribution of the Wilcoxon Signed Rank statistic obtained from a sample with size
dsignrank(x, n, log = FALSE) psignrank(q, n, lower.tail = TRUE, log.p = FALSE) qsignrank(p, n, lower.tail = TRUE, log.p = FALSE) rsignrank(nn, n)
- x, q
- vector of quantiles.
- vector of probabilities.
- number of observations. If
length(nn) > 1, the length is taken to be the number required.
- number(s) of observations in the sample(s). A positive integer, or a vector of such integers.
- log, log.p
- logical; if TRUE, probabilities p are given as log(p).
- logical; if TRUE (default), probabilities are P[X ≤ x], otherwise, P[X > x].
This distribution is obtained as follows. Let
x be a sample of size
n from a continuous distribution symmetric about the origin. Then the Wilcoxon signed rank statistic is the sum of the ranks of the absolute values
x[i] for which
x[i] is positive. This statistic takes values between 0 and n(n+1)/2, and its mean and variance are n(n+1)/4 and n(n+1)(2n+1)/24, respectively.
If either of the first two arguments is a vector, the recycling rule is used to do the calculations for all combinations of the two up to the length of the longer vector.
The length of the result is determined by
rsignrank, and is the maximum of the lengths of the numerical parameters for the other functions. The numerical parameters other than
nn are recycled to the length of the result. Only the first elements of the logical parameters are used.
wilcox.test to calculate the statistic from data, find p values and so on.
Distributions for standard distributions, including
dwilcox for the distribution of two-sample Wilcoxon rank sum statistic.
Documentation reproduced from R 2.15.3. License: GPL-2.