| permute.groups {emon} | R Documentation |
Does randomisation test for the difference in means of two vectors v1 and v2.
Description
Does randomisation test for the difference in means mu1, mu2
of two vectors v1 and v2. Can do one or two sided tests.
Usage
permute.groups(v1, v2, alternative, nreps)
Arguments
v1 |
Data vector for variable 1 |
v2 |
Data vector for variable 2 |
alternative |
A character string specifying the alternative
hypothesis, must be one of |
nreps |
Number of replications used in the randomisation and generation of
the p-value. Default is |
Details
Under the null hypothesis that mu1=mu2, the labelling of the n1+n2 observations is unimportant.
Therefore, we can generate the null distribution for the test statistic m1-m2 or |m1-m2| depending
on whether a one
or two sided test is required) by randomly permuting the treatment labels nreps times and calculating the test statistic
each time. The p-value is calculated as suggested by Manly (2006).
Value
The p-value is returned as $p.value
Author(s)
Jon Barry: Jon.Barry@cefas.co.uk
References
Manly BFJ (2006) Randomization, Bootstrap And Monte Carlo Methods in Biology: 3rd edition. Chapman and Hall.
See Also
Examples
set.seed(5)
v1 = rnorm(27,10,2); v2=rnorm(25,11,2)
permute.groups(v1, v2, alternative="two")
permute.groups(v1, v2, alt="l")