CLASSanc:

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

Usage

CLASSanc(x1, y1, x2, y2, xout = FALSE, outfun = out, ...)

Arguments

x1
y1
x2
y2
xout
outfun
...

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 (x1, y1, x2, y2, xout = FALSE, outfun = out, ...) 
{
    x1 = as.matrix(x1)
    if (ncol(x1) != 1) 
        stop("This function allows one covariate only")
    if (xout) {
        flag = outfun(x1, plotit = FALSE, ...)$keep
        x1 = x1[flag]
        y1 = y1[flag]
        flag = outfun(x2, plotit = FALSE, ...)$keep
        x2 = x2[flag]
        y2 = y2[flag]
    }
    x = c(x1, x2)
    y = c(y1, y2)
    g = c(rep(1, length(y1)), rep(2, length(y2)))
    model = lm(y ~ as.factor(g) * x)
    res1 = summary.aov(model)
    model = lm(y ~ as.factor(g) + x)
    res2 = summary.aov(model)
    list(slope.test = res1, ancova = res2)
  }

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