yuen.effect:

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

Usage

yuen.effect(x, y, tr = 0.2, alpha = 0.05, plotit = FALSE, plotfun = splot, op = TRUE, VL = TRUE, cor.op = FALSE, xlab = "Groups", ylab = "", PB = FALSE)

Arguments

x
y
tr
alpha
plotit
plotfun
op
VL
cor.op
xlab
ylab
PB

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, y, tr = 0.2, alpha = 0.05, plotit = FALSE, plotfun = splot, 
    op = TRUE, VL = TRUE, cor.op = FALSE, xlab = "Groups", ylab = "", 
    PB = FALSE) 
{
    if (tr == 0.5) 
        stop("Use medpb to compare medians.")
    if (tr > 0.5) 
        stop("Can't have tr>.5")
    library(MASS)
    x <- x[!is.na(x)]
    y <- y[!is.na(y)]
    h1 <- length(x) - 2 * floor(tr * length(x))
    h2 <- length(y) - 2 * floor(tr * length(y))
    q1 <- (length(x) - 1) * winvar(x, tr)/(h1 * (h1 - 1))
    q2 <- (length(y) - 1) * winvar(y, tr)/(h2 * (h2 - 1))
    df <- (q1 + q2)^2/((q1^2/(h1 - 1)) + (q2^2/(h2 - 1)))
    crit <- qt(1 - alpha/2, df)
    m1 = mean(x, tr)
    m2 = mean(y, tr)
    mbar = (m1 + m2)/2
    dif = m1 - m2
    low <- dif - crit * sqrt(q1 + q2)
    up <- dif + crit * sqrt(q1 + q2)
    test <- abs(dif/sqrt(q1 + q2))
    yuen <- 2 * (1 - pt(test, df))
    xx = c(rep(1, length(x)), rep(2, length(y)))
    pts = c(x, y)
    top = var(c(m1, m2))
    if (!PB) {
        if (tr == 0) 
            cterm = 1
        if (tr > 0) 
            cterm = area(dnormvar, qnorm(tr), qnorm(1 - tr)) + 
                2 * (qnorm(tr)^2) * tr
        bot = winvar(pts, tr = tr)/cterm
    }
    if (PB) 
        bot = pbvar(pts)/1.06
    e.pow = top/bot
    if (e.pow > 1) {
        x0 = c(rep(1, length(x)), rep(2, length(y)))
        y0 = c(x, y)
        e.pow = wincor(x0, y0, tr = tr)$cor^2
    }
    if (plotit) {
        plot(xx, pts, xlab = xlab, ylab = ylab)
        if (op) 
            points(c(1, 2), c(m1, m2))
        if (VL) 
            lines(c(1, 2), c(m1, m2))
    }
    list(ci = c(low, up), p.value = yuen, dif = dif, se = sqrt(q1 + 
        q2), teststat = test, crit = crit, df = df, Var.Explained = e.pow, 
        Effect.Size = sqrt(e.pow))
  }

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