perm.t.test | R Documentation |
Performs a permutation Student's t-test.
perm.t.test(x, ...)
## Default S3 method:
perm.t.test(x, y, paired = FALSE, ...)
## S3 method for class 'formula'
perm.t.test(formula, data, alternative = c("two.sided", "less", "greater"),
paired = FALSE, nperm = 999, progress = TRUE, ...)
x |
a numeric vector of data values. |
y |
a numeric vector of data values. |
paired |
a logical indicating whether you want a paired t-test. |
formula |
a formula of the form |
data |
an optional data frame containing the variables in the formula |
alternative |
a character string specifying the alternative hypothesis, must be one of |
nperm |
number of permutations. |
progress |
logical indicating if the progress bar should be displayed. |
... |
further arguments to be passed to or from other methods. |
The function deals with the limitted floating point precision, which can bias calculation of p-values based on a discrete test statistic distribution.
statistic |
test statistics of the parametric test. |
permutations |
number of permutations. |
p.value |
p-value of the permutation test. |
estimate |
the estimated mean or difference in means depending on whether it was a paired or not paired test. |
alternative |
a character string describing the alternative hypothesis. |
method |
a character string indicating what type of t-test was performed. |
data.name |
a character string giving the name(s) of the data. |
null.value |
the specified hypothesized value of the mean difference, always 0. |
Maxime HERVE <maxime.herve@univ-rennes1.fr>
t.test
response <- c(rnorm(5),rnorm(5,2,1))
fact <- gl(2,5,labels=LETTERS[1:2])
# Not enough permutations here but faster to run
# Unpaired test
perm.t.test(response~fact,nperm=49)
# Paired test
perm.t.test(response~fact,paired=TRUE,nperm=49)
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