bmpmul:

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

Usage

bmpmul(x, alpha = 0.05)

Arguments

x
alpha

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, alpha = 0.05) 
{
    if (is.matrix(x)) 
        x <- listm(x)
    if (!is.list(x)) 
        stop("Data must be stored in a matrix or in list mode.")
    J <- length(x)
    CC <- (J^2 - J)/2
    test <- matrix(NA, CC, 7)
    for (j in 1:J) {
        xx <- !is.na(x[[j]])
        val <- x[[j]]
        x[[j]] <- val[xx]
    }
    dimnames(test) <- list(NULL, c("Group", "Group", "P.hat", 
        "ci.lower", "ci.upper", "df", "p.value"))
    jcom <- 0
    for (j in 1:J) {
        for (k in 1:J) {
            if (j < k) {
                temp <- bmp(x[[j]], x[[k]], alpha)
                crit <- 0 - smmcrit(temp$df, CC)
                if (alpha != 0.05) 
                  crit <- 0 - smmcrit01(temp$df, CC)
                temp <- bmp(x[[j]], x[[k]], crit = crit)
                jcom <- jcom + 1
                test[jcom, 1] <- j
                test[jcom, 2] <- k
                test[jcom, 3] <- temp$phat
                test[jcom, 4] <- temp$ci.p[1]
                test[jcom, 5] <- temp$ci.p[2]
                test[jcom, 6] <- temp$df
                test[jcom, 7] <- temp$sig.level
            }
        }
    }
    list(test = test)
  }

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