ade4 (version 1.7-15)

krandtest: Class of the Permutation Tests (in C).

Description

Plot, print and extract permutation tests. Objects of class 'krandtest' are lists.

Usage

as.krandtest(sim, obs, alter = "greater", call = match.call(),
  names = colnames(sim), p.adjust.method = "none", output = c("light", "full"))
# S3 method for krandtest
plot(x, mfrow = NULL, nclass = 10, main.title = x$names, ...)
# S3 method for krandtest
print(x, ...)
# S3 method for krandtest
[(x, i)
# S3 method for krandtest
[[(x, i)

Arguments

sim

a matrix or data.frame of simulated values (repetitions as rows, number of tests as columns

obs

a numeric vector of observed values for each test

alter

a vector of character specifying the alternative hypothesis for each test. Each element must be one of "greater" (default), "less" or "two-sided". The length must be equal to the length of the vector obs, values are recycled if shorter.

call

a call order

names

a vector of names for tests

p.adjust.method

a string indicating a method for multiple adjustment, see p.adjust.methods for possible choices.

output

a character string specifying if all simulations should be stored ("full"). This was the default until ade4 1.7-5. Now, by default ("light"), only the distribution of simulated values is stored in element plot as produced by the hist function.

x

an object of class 'krandtest'

mfrow

a vector of the form 'c(nr,nc)', otherwise computed by as special own function n2mfrow

nclass

a number of intervals for the histogram. Ignored if object output is "light"

main.title

a string of character for the main title

…

further arguments passed to or from other methods

i

numeric indices specifying elements to extract

Value

plot.krandtest draws the p simulated values histograms and the position of the observed value. [.krandtest returns a krandtest object and [[.krandtest returns a randtest object.

See Also

randtest

Examples

# NOT RUN {
wkrandtest <- as.krandtest(obs = c(0, 1.2, 2.4, 3.4, 5.4, 20.4), 
  sim = matrix(rnorm(6*200), 200, 6))
wkrandtest
plot(wkrandtest)
wkrandtest[c(1, 4, 6)]
wkrandtest[[1]]
# }

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