perm.t.test {Deducer} | R Documentation |
Two Sample t-test via monte-carlo permutation
perm.t.test(x,y,statistic=c("t","mean"),
alternative=c("two.sided", "less", "greater"), midp=TRUE, B=10000)
x |
a numeric vector containing the first sample |
y |
a numeric vector containing the second sample |
statistic |
The statistic to be permuted. See details |
alternative |
The alternative hypothesis |
midp |
should the mid p-value be used |
B |
The number of monte-carlo samples to be generated |
This function performs a two sample permutation test. If the mean is permuted, then the test assumes exchangability between the two samples. if the t-statistic is used, the test assumes either exchangability or a sufficiently large sample size. Because there is little lost in the way of power, and the assumptions are weaker, the t-statistic is used by default.
A list with class "htest" containing the following components:
statistic |
The observed value of the statistic. |
p.value |
the p-value for the test. |
method |
a character string indicating the type of test performed. |
data.name |
a character string giving the name(s) of the data. |
B |
The number of samples generated |
alternative |
the direction of the test |
perm.t.test(rnorm(100),runif(100,-.5,.5))