integrate.Results.General: integrate results of multiple RP outputs for meta-analysis

In galder-max/RPlite: What the package does (short line)

Description

this function allows to perform posthoc meta-analysis by integrating single dataset results together instead of recomputing them for the meta-analysis.

Usage

integrate.Results.General(listRes, vec = NA, weights = NA, nperms = NA)

Arguments

listRes	a list of the results as returned by the main RP function, i.e. RP.symetric
vec	if listRes contains elements that are not to be included in the meta-analysis, vec can be specified and is the indices of the elements to integrate from listRes. This can be useful to select only a subset of datasets for the analysis.
weights	weights can be given to each dataset. The default is the number of possible pairs of ratios, i.e. number of samples from level1 multiplied by number of samples from level2 in each dataset.
nperms	number of permutations to use. default is the lowest number of permutations used for the results in listRes. More can be given and will require more computing time.

Value

list of results with the null distribution, the final results in finalRes, and the final scores in final.scoresF

Author(s)

[e-mail]

galder-max/RPlite documentation built on May 5, 2019, 3:49 a.m.