skiptbs:

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

Usage

skiptbs(x, y = NA, plotit = FALSE)

Arguments

x
y
plotit

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 = NA, plotit = FALSE) 
{
    if (!is.na(y[1])) 
        x <- cbind(x, y)
    x <- elimna(x)
    n <- nrow(x)
    keep <- outtbs(x, plotit = plotit)$keep
    val <- cor(x[keep, ])
    p.value <- NA
    test <- NA
    crit.05 <- 30.41/n + 2.21
    vat <- val
    diag(vat) <- 0
    test <- abs(vat * sqrt((n - 2)/(1 - vat^2)))
    diag(test) <- NA
    if (ncol(val) == 2) {
        p.value <- c("Greater than .1")
        val <- val[1, 2]
        test <- abs(val * sqrt((n - 2)/(1 - val^2)))
        p.value <- c("Greater than .1")
        crit <- 20.2/n + 1.89
        if (test >= crit) 
            p.value <- c("Less than .1")
        crit <- 30.41/n + 2.21
        if (test >= crit) 
            p.value <- c("Less than .05")
        crit <- 39.72/n + 2.5
        if (test >= crit) 
            p.value <- c("Less than .025")
        crit <- 58.55/n + 2.8
        if (test >= crit) 
            p.value <- c("Less than .01")
    }
    list(cor = val, test.stat = test, p.value = p.value, crit.05 = crit.05)
  }

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