med2mcp:

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

Usage

med2mcp(J, K, x, grp = c(1:p), p = J * K, tr = 0.2, nboot = NA, alpha = 0.05, SEED = TRUE, pr = TRUE, bhop = FALSE)

Arguments

J
K
x
grp
p
tr
nboot
alpha
SEED
pr
bhop

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, nboot = NA, 
    alpha = 0.05, SEED = TRUE, pr = TRUE, bhop = FALSE) 
{
    if (SEED) 
        set.seed(2)
    if (is.list(x)) 
        x <- elimna(matl(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.")
    temp = con2way(J, K)
    conA <- temp$conA
    conB <- temp$conB
    conAB <- temp$conAB
    if (pr) 
        print("Taking bootstrap samples")
    Factor.A <- medpb(x, con = conA, alpha = alpha, nboot = nboot, 
        bhop = bhop, SEED = FALSE)
    Factor.B <- medpb(x, con = conB, alpha = alpha, nboot = nboot, 
        bhop = bhop, SEED = FALSE)
    Factor.AB <- medpb(x, con = conAB, alpha = alpha, nboot = nboot, 
        bhop = bhop, SEED = FALSE)
    list(Factor.A = Factor.A, Factor.B = Factor.B, Factor.AB = Factor.AB, 
        bhop = bhop, SEED = FALSE)
  }

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