rrplot:

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

Usage

rrplot(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 = 5)
    lsres <- lsfit(x, y)$residuals
    print("got OLS")
    l1res <- l1fit(x, y)$residuals
    print("got L1")
    almsres <- lmsreg(x, y)$resid
    print("got ALMS")
    altsres <- ltsreg(x, y)$residuals
    print("got ALTS")
    out <- mba$coef
    mbacoef <- mbareg(x, y, nsamp = nsamps)$coef
    MBARES <- y - mbacoef[1] - x %*% mbacoef[-1]
    print("got MBA")
    rmat[, 1] <- lsres
    rmat[, 2] <- l1res
    rmat[, 3] <- almsres
    rmat[, 4] <- altsres
    rmat[, 5] <- MBARES
    pairs(rmat, labels = c("OLS residuals", "L1 residuals", "ALMS residuals", 
        "ALTS residuals", "MBA residuals"))
  }

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