grit:

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

Usage

grit(x, y, itest = 1, sm.fun = rplot, nboot = 500, alpha = 0.05, SEED = TRUE, fr = 1, plot.fun = rplot, plotit = TRUE, ...)

Arguments

x
y
itest
sm.fun
nboot
alpha
SEED
fr
plot.fun
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, itest = 1, sm.fun = rplot, nboot = 500, alpha = 0.05, 
    SEED = TRUE, fr = 1, plot.fun = rplot, plotit = TRUE, ...) 
{
    if (!is.matrix(x)) 
        stop("Should have two or more predictors stored in a matrix")
    p <- ncol(x)
    pp <- p + 1
    x <- elimna(cbind(x, y))
    y <- x[, pp]
    x <- x[, 1:p]
    flag <- rep(T, ncol(x))
    flag[itest] <- F
    temp <- sm.fun(x[, flag], y, plotit = FALSE, pyhat = TRUE, 
        fr = fr)
    res <- y - temp
    test.it <- indt(x[, itest], res)
    if (plotit) 
        plot.fun(x[, itest], res, ...)
    test.it
  }

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