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maigesPack (version 1.30.0)

bootstrapT: Calculate bootstrap p-values for t statistics

Description

This function takes a numerical matrix and column indexes for two groups to calculate bootstrapped (by re-sampling) p-values comparing the equality of means from the two groups.

Usage

bootstrapT(x, k=20000, obs1, obs2, ...)

Arguments

x
numerical matrix to be bootstrapped. The t statistics is calculated by row using the column indexes given by obs1 and obs2 for the two groups tested.
k
number of bootstrap re-samplings to be done. Defaults to 20000.
obs1
logical or numerical column indexes of the first group.
obs2
logical or numerical column indexes of the second group.
...
additional parameters for t.test function from package stats.

Value

The result of this function is a numerical matrix with number of rows given by the rows of the argument x and 3 columns. The first column contain the difference of means between the two groups, the second one contain the original t statistic and the last one gives the bootstrapped p-values, for all rows of the matrix x.

See Also

t.test from package stats.

Examples

Run this code
z <- matrix(rnorm(100, 0, 1), 4, 25)
bootstrapT(z, k=100, obs1=1:14, obs2=15:25)

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