twwmcp:

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

Usage

twwmcp(J, K, x, grp = c(1:p), p = J * K, tr = 0.2, alpha = 0.05, dif = FALSE)

Arguments

J
K
x
grp
p
tr
alpha
dif

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, x, grp = c(1:p), p = J * K, tr = 0.2, alpha = 0.05, 
    dif = FALSE) 
{
    Qa <- NA
    Qab <- NA
    if (is.list(x)) 
        x <- elimna(matl(x))
    if (is.data.frame(x)) 
        x = as.matrix(x)
    if (is.matrix(x)) 
        x <- elimna(x)
    data <- x
    if (is.matrix(data)) 
        data <- listm(data)
    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 stored in x 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
    temp <- con2way(J, K)
    Qa <- rmmcp(x, con = temp$conA, alpha = alpha, dif = dif, 
        tr = tr)
    Qb <- rmmcp(x, con = temp$conB, alpha = alpha, dif = dif, 
        tr = tr)
    Qab <- rmmcp(x, con = temp$conAB, alpha = alpha, dif = dif, 
        tr = tr)
    list(Qa = Qa, Qb = Qb, Qab = Qab)
  }

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