bwtrim:

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

Usage

bwtrim(J, K, data, tr = 0.2, grp = c(1:p), p = J * K, MAT = FALSE, grpc = 1, coln = c(2:3))

Arguments

J
K
data
tr
grp
p
MAT
grpc
coln

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 (J, K, data, tr = 0.2, grp = c(1:p), p = J * K, MAT = FALSE, 
    grpc = 1, coln = c(2:3)) 
{
    if (is.data.frame(data)) 
        data = as.matrix(data)
    if (MAT) 
        data = selbybw(data, grpc = grpc, coln = coln)$x
    x <- data
    if (is.matrix(x) || is.data.frame(x)) {
        y <- list()
        for (j in 1:ncol(x)) y[[j]] <- x[, j]
        data <- y
    }
    if (!is.list(data)) 
        stop("Data are not stored in list mode or a matrix")
    if (p != length(data)) {
        print("The total number of groups, based on the specified levels, is")
        print(p)
        print("The number of groups in data is")
        print(length(data))
        print("Warning: These two values are not equal")
    }
    if (p != length(grp)) 
        stop("Apparently a subset of the groups was specified that does not match the total number of groups indicated by the values for J and K.")
    tmeans <- 0
    h <- 0
    v <- matrix(0, p, p)
    klow <- 1 - K
    kup <- 0
    for (i in 1:p) tmeans[i] <- mean(data[[grp[i]]], tr, na.rm = TRUE)
    for (j in 1:J) {
        h[j] <- length(data[[grp[j]]]) - 2 * floor(tr * length(data[[grp[j]]]))
        klow <- klow + K
        kup <- kup + K
        sel <- c(klow:kup)
        v[sel, sel] <- covmtrim(data[grp[klow:kup]], tr)
    }
    ij <- matrix(c(rep(1, J)), 1, J)
    ik <- matrix(c(rep(1, K)), 1, K)
    jm1 <- J - 1
    cj <- diag(1, jm1, J)
    for (i in 1:jm1) cj[i, i + 1] <- 0 - 1
    km1 <- K - 1
    ck <- diag(1, km1, K)
    for (i in 1:km1) ck[i, i + 1] <- 0 - 1
    cmat <- kron(cj, ik)
    Qa <- johansp(cmat, tmeans, v, h, J, K)
    cmat <- kron(ij, ck)
    Qb <- johansp(cmat, tmeans, v, h, J, K)
    cmat <- kron(cj, ck)
    Qab <- johansp(cmat, tmeans, v, h, J, K)
    list(Qa = Qa$teststat, Qa.p.value = Qa$p.value, Qb = Qb$teststat, 
        Qb.p.value = Qb$p.value, Qab = Qab$teststat, Qab.p.value = Qab$p.value)
  }

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