olsMUL:

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

Usage

olsMUL(x, y, xout = FALSE, outfun = out)

Arguments

x
y
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 (x, y, xout = FALSE, outfun = out) 
{
    m <- elimna(cbind(x, y))
    x <- as.matrix(x)
    p <- ncol(x)
    pp <- ncol(m)
    p1 = p + 1
    x <- m[, 1:p]
    y <- m[, p:pp]
    if (xout) {
        m <- cbind(x, y)
        flag <- outfun(x, plotit = FALSE)$keep
        m <- m[flag, ]
        x <- m[, 1:p]
        y <- m[, pp]
    }
    x <- as.matrix(x)
    y <- as.matrix(y)
    py = ncol(y)
    for (j in 1:py) {
        print(paste("Response", j))
        temp <- summary(lm(y[, j] ~ x))
        coef <- temp[4]$coefficients
        Ftest <- temp[10]$fstatistic
        Ftest.p.value <- 1 - pf(Ftest[1], Ftest[2], Ftest[3])
        Rval = Rsq(x, y[, j])
        print(list(coef = coef, Ftest.p.value = Ftest.p.value, 
            R.squared = Rval))
    }
  }

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