ffL:

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

Usage

ffL(x, y)

Arguments

x
y

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) 
{
    n <- length(y)
    rmat <- matrix(nrow = n, ncol = 5)
    rmat[, 1] <- y - lsfit(x, y)$resid
    ytem <- (y^(0.5) - 1)/0.5
    rmat[, 2] <- ytem - lsfit(x, ytem)$resid
    rmat[, 3] <- log(y) - lsfit(x, log(y))$resid
    ytem <- (y^(-0.5) - 1)/-0.5
    rmat[, 4] <- ytem - lsfit(x, ytem)$resid
    ytem <- (y^(-1) - 1)/-1
    rmat[, 5] <- ytem - lsfit(x, ytem)$resid
    pairs(rmat, labels = c("YHAT", "YHAT^(0.5)", "YHAT^(0)", 
        "YHAT^(-0.5)", "YHAT^(-1)"))
    min(cor(rmat))
  }

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