effectg:

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

Usage

effectg(x, y, locfun = tmean, varfun = winvarN, nboot = 100, SEED = TRUE, ...)

Arguments

x
y
locfun
varfun
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, y, locfun = tmean, varfun = winvarN, nboot = 100, 
    SEED = TRUE, ...) 
{
    library(MASS)
    if (SEED) 
        set.seed(2)
    x <- x[!is.na(x)]
    y <- y[!is.na(y)]
    n1 = length(x)
    n2 = length(y)
    if (n1 == n2) {
        temp = effectg.sub(x, y, locfun = locfun, varfun = varfun, 
            ...)
        e.pow = temp$Var.Explained
    }
    if (n1 != n2) {
        N = min(c(n1, n2))
        vals = 0
        for (i in 1:nboot) vals[i] = effectg.sub(sample(x, N), 
            sample(y, N), locfun = locfun, varfun = varfun, ...)$Var.Explained
        e.pow = mean(vals)
    }
    list(Explanatory.power = e.pow, Effect.Size = sqrt(e.pow))
  }

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