rung3hat:

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

Usage

rung3hat(x, y, est = tmean, pts, fr = 1, ...)

Arguments

x
y
est
pts
fr
...

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, est = tmean, pts, fr = 1, ...) 
{
    if (!is.matrix(x)) 
        stop("Predictors are not stored in a matrix.")
    if (!is.matrix(pts)) 
        stop("The third argument, pts, must be a matrix.")
    library(MASS)
    m <- cov.mve(x)
    rmd <- 1
    nval <- 1
    for (i in 1:nrow(pts)) {
        rmd[i] <- est(y[near3d(x, pts[i, ], fr, m)], ...)
        nval[i] <- length(y[near3d(x, pts[i, ], fr, m)])
    }
    list(rmd = rmd, nval = nval)
  }

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