Description Usage Arguments Details Value
View source: R/F_getTestStats.R
A function to calculate observed and permuation z-statistics on a n-by-p matrix of observations
1 2 3 4 5 6 7 8 9 10 11 | getTestStats(
Y,
center,
test = "wilcox.test",
x,
B,
argList,
tieBreakRan,
replace,
scale
)
|
Y |
The nxp data matrix |
center |
a boolean, should data be centered prior to permuation |
test |
A function name, possibly user defined. See details. |
x |
A vector defining the groups. Will be coerced to factor. |
B |
an integer, the number of permuations |
argList |
A list of further arguments passed on to the test function |
tieBreakRan |
A boolean, should ties of permutation test statistics be broken randomly? If not, midranks are used |
replace |
A boolean. If FALSE, samples are permuted (resampled without replacement), if TRUE the samples are bootstrapped (resampled with replacement) |
scale |
a boolean, should data be scaled prior to resampling |
For test "wilcox.test" and "t.test", fast custom implementations are used. Other functions can be supplied but must accept a y outcome variable, a x as grouping variable, and possibly a list of other arguments. It must return all arguments needed to evaluate its quantile function if z-values are to be used.
A list with components
statObs |
A vector of length p of observed test statistics |
statsPerm |
A p-by-B matrix of permutation test statistics |
resamDesign |
The resampling design |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.