cmba2:

Usage Arguments Examples

Usage

1
cmba2(x, csteps = 5, ii = 1)

Arguments

x
csteps
ii

Examples

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##---- 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, csteps = 5, ii = 1) 
{
    n <- dim(x)[1]
    p <- dim(x)[2]
    mds <- matrix(nrow = n, ncol = 8, 0)
    covs <- var(x)
    mns <- apply(x, 2, mean)
    cmd <- sqrt(mahalanobis(x, mns, covs))
    for (i in 1:csteps) {
        md2 <- mahalanobis(x, mns, covs)
        medd2 <- median(md2)
        mns <- apply(x[md2 <= medd2, ], 2, mean)
        covs <- var(x[md2 <= medd2, ])
    }
    mds[, 8] <- sqrt(mahalanobis(x, mns, covs))
    covb <- covs
    mnb <- mns
    critb <- prod(diag(chol(covb)))
    covv <- diag(p)
    med <- apply(x, 2, median)
    md2 <- mahalanobis(x, center = med, covv)
    smd2 <- sort(md2)
    val <- p + 3
    tem <- 1:7
    tem[1] <- smd2[val + floor(0.02 * n)]
    tem[2] <- smd2[val + floor(0.05 * n)]
    tem[3] <- smd2[val + floor(0.1 * n)]
    tem[4] <- smd2[val + floor(0.2 * n)]
    tem[5] <- smd2[val + floor(0.3 * n)]
    tem[6] <- smd2[val + floor(0.4 * n)]
    tem[7] <- median(md2)
    medd2 <- tem[7]
    for (j in ii:7) {
        val2 <- tem[j]
        mns <- apply(x[md2 <= val2, ], 2, mean)
        covs <- var(x[md2 <= val2, ])
        for (i in 1:csteps) {
            md2 <- mahalanobis(x, mns, covs)
            medd2 <- median(md2)
            mns <- apply(x[md2 <= medd2, ], 2, mean)
            covs <- var(x[md2 <= medd2, ])
        }
        mds[, j] <- sqrt(mahalanobis(x, mns, covs))
        plot(cmd, mds[, j])
        identify(cmd, mds[, j])
        crit <- prod(diag(chol(covs)))
        if (crit < critb) {
            critb <- crit
            covb <- covs
            mnb <- mns
        }
    }
    pairs(mds)
    rd2 <- mahalanobis(x, mnb, covb)
    const <- median(rd2)/(qchisq(0.5, p))
    covb <- const * covb
    list(center = mnb, cov = covb, mds = mds)
  }

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