paired.perm.test {broman} | R Documentation |
Calculates a p-value for a paired t-test via permutations.
paired.perm.test(d, n.perm = NULL, pval = TRUE)
d |
A numeric vector (of differences). |
n.perm |
Number of permutations to perform. If NULL, all possible permutations are considered, and an exact p-value is calculated. |
pval |
If TRUE, return just the p-value. If FALSE, return the
actual permutation results (with the observed statistic as an
attribute, |
This calls the function stats::t.test()
to calculate a
t-statistic comparing the mean of d
to 0. Permutations
are perfomed to give an exact or approximate conditional p-value.
If pval=TRUE
, the output is a single number: the P-value
testing for the symmetry about 0 of the distribution of the population
from which d
was drawn.
If pval=FALSE
, the output is a vector of the t statistics from
the permutations. An attributed "tobs"
contains the t
statistic with the observed data.
x <- c(43.3, 57.1, 35.0, 50.0, 38.2, 31.2)
y <- c(51.9, 95.1, 90.0, 49.7, 101.5, 74.1)
paired.perm.test(x-y)