ffplot:

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

Usage

ffplot(x, y, nsamps = 7)

Arguments

x
y
nsamps

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, nsamps = 7) 
{
    n <- length(y)
    rmat <- matrix(nrow = n, ncol = 6)
    lsfit <- y - lsfit(x, y)$residuals
    print("got OLS")
    l1fit <- y - l1fit(x, y)$residuals
    print("got L1")
    almsfit <- y - lmsreg(x, y)$resid
    print("got ALMS")
    altsfit <- y - ltsreg(x, y)$residuals
    print("got ALTS")
    mbacoef <- mbareg(x, y, nsamp = nsamps)$coef
    MBAFIT <- mbacoef[1] + x %*% mbacoef[-1]
    print("got MBA")
    rmat[, 1] <- y
    rmat[, 2] <- lsfit
    rmat[, 3] <- l1fit
    rmat[, 4] <- almsfit
    rmat[, 5] <- altsfit
    rmat[, 6] <- MBAFIT
    pairs(rmat, labels = c("Y", "OLS Fit", "L1 Fit", "ALMS Fit", 
        "ALTS Fit", "MBAREG Fit"))
  }

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