lplot.pred:

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

Usage

lplot.pred(x, y, pts = x, xout = FALSE, outfun = outpro, span = 2/3, family = "gaussian", ...)

Arguments

x
y
pts
xout
outfun
span
family
...

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, pts = x, xout = FALSE, outfun = outpro, span = 2/3, 
    family = "gaussian", ...) 
{
    x <- as.matrix(x)
    d = ncol(x)
    dp1 = d + 1
    m <- elimna(cbind(x, y))
    n.orig = nrow(m)
    n.keep = n.orig
    if (xout) {
        flag <- outfun(x, plotit = FALSE, ...)$keep
        m <- m[flag, ]
        n.keep = nrow(m)
    }
    x <- m[, 1:d]
    y <- m[, dp1]
    fit = loess(y ~ x, span = span, family = family)
    pred = predict(fit, pts)
    list(n = n.orig, n.keep = n.keep, yhat = pred)
  }

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