esmcp:

In musto101/wilcox_R: What the package does (short line)

Usage

esmcp(x, tr = 0.2, nboot = 100, SEED = TRUE)

Arguments

x
tr
nboot
SEED

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x, tr = 0.2, nboot = 100, SEED = TRUE) 
{
    if (is.data.frame(x)) 
        x = as.matrix(x)
    if (SEED) 
        set.seed(2)
    if (is.matrix(x)) 
        x <- listm(x)
    J <- length(x)
    JALL = (J^2 - J)/2
    est = matrix(NA, JALL, 3)
    dimnames(est) = list(NULL, c("Group", "Group", "Effect Size"))
    ic = 0
    for (j in 1:J) {
        for (k in 1:J) {
            if (j < k) {
                ic = ic + 1
                est[ic, 1] = j
                est[ic, 2] = k
                est[ic, 3] = yuenv2(x[[j]], x[[k]], SEED = SEED, 
                  tr = tr, nboot = nboot)$Effect.Size
            }
        }
    }
    list(Estimates = est)
  }

musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.