Does randomisation test for the difference in means mu1, mu2
of two vectors
v2. Can do one or two sided tests.
permute.groups(v1, v2, alternative, nreps)
Data vector for variable 1
Data vector for variable 2
A character string specifying the alternative
hypothesis, must be one of
Number of replications used in the randomisation and generation of
the p-value. Default is
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
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).
The p-value is returned as
Jon Barry: Jon.Barry@cefas.co.uk
Manly BFJ (2006) Randomization, Bootstrap And Monte Carlo Methods in Biology: 3rd edition. Chapman and Hall.
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