con2way:

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

Usage

con2way(J, K)

Arguments

J
K

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) 
{
    JK <- J * K
    Ja <- (J^2 - J)/2
    Ka <- (K^2 - K)/2
    JK <- J * K
    conA <- matrix(0, nrow = JK, ncol = Ja)
    ic <- 0
    for (j in 1:J) {
        for (jj in 1:J) {
            if (j < jj) {
                ic <- ic + 1
                mat <- matrix(0, nrow = J, ncol = K)
                mat[j, ] <- 1
                mat[jj, ] <- 0 - 1
                conA[, ic] <- t(mat)
            }
        }
    }
    conB <- matrix(0, nrow = JK, ncol = Ka)
    ic <- 0
    for (k in 1:K) {
        for (kk in 1:K) {
            if (k < kk) {
                ic <- ic + 1
                mat <- matrix(0, nrow = J, ncol = K)
                mat[, k] <- 1
                mat[, kk] <- 0 - 1
                conB[, ic] <- t(mat)
            }
        }
    }
    conAB <- matrix(0, nrow = JK, ncol = Ka * Ja)
    ic <- 0
    for (j in 1:J) {
        for (jj in 1:J) {
            if (j < jj) {
                for (k in 1:K) {
                  for (kk in 1:K) {
                    if (k < kk) {
                      ic <- ic + 1
                      mat <- matrix(0, nrow = J, ncol = K)
                      mat[j, k] <- 1
                      mat[j, kk] <- 0 - 1
                      mat[jj, k] <- 0 - 1
                      mat[jj, kk] <- 1
                    }
                    conAB[, ic] <- t(mat)
                  }
                }
            }
        }
    }
    list(conA = conA, conB = conB, conAB = conAB)
  }

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