TKmeans:

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

Usage

TKmeans(x, k, trim = 0.1, scaling = FALSE, runs = 100, points = NULL, countmode = runs + 1, printcrit = FALSE, maxit = 2 * nrow(as.matrix(data)))

Arguments

x
k
trim
scaling
runs
points
countmode
printcrit
maxit

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, k, trim = 0.1, scaling = FALSE, runs = 100, points = NULL, 
    countmode = runs + 1, printcrit = FALSE, maxit = 2 * nrow(as.matrix(data))) 
{
    x = elimna(x)
    library(trimcluster)
    res = trimkmeans(x, k = k, trim = trim, scaling = scaling, 
        runs = runs, points = points, countmode = countmode, 
        printcrit = printcrit, maxit = maxit)
    res
  }

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