tool.metap {Mergeomics} | R Documentation |
tool.metap
returns the meta p-values of given datasets with
multiple p-values.
tool.metap(datasets, idcolumn, pcolumn, weights = NULL)
datasets |
data list, whose meta p-values will be obtained |
idcolumn |
column number of the datasets that includes identities |
pcolumn |
column number of the datasets that includes p-values |
weights |
weight list of the data list |
res |
data list including identities and meta p-values of the
given |
Ville-Petteri Makinen
set.seed(1) ## let us assume we have p-values for the coexpr modules obtained from ## distinct analyses by using different gene-marker mapping sets (e.g. eQTLs ## from diff tissues) and we would like to make a meta-analysis for ## these multiple Pvalues of the modules: datasets=list() ## we have 3 datasets and 3 diff result sets datasets[[1]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"), P=c(rnorm(4))) datasets[[2]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"), P=c(rnorm(4))) datasets[[3]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"), P=c(rnorm(4))) idcolumn <- "MODULE" ## identifiers of the modules are in the 1st col pcolumn <- "P" ## p values of the modules are in the 2nd col tool.metap(datasets, idcolumn, pcolumn)