anctsmp:

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

Usage

anctsmp(x1, y1, x2, y2, regfun = tsreg, alpha = 0.05, pts = NULL, SEED = TRUE, nboot = 100, xout = FALSE, outfun = out, ...)

Arguments

x1
y1
x2
y2
regfun
alpha
pts
SEED
nboot
xout
outfun
...

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 (x1, y1, x2, y2, regfun = tsreg, alpha = 0.05, pts = NULL, 
    SEED = TRUE, nboot = 100, xout = FALSE, outfun = out, ...) 
{
    if (SEED) 
        set.seed(2)
    x1 = as.matrix(x1)
    p = ncol(x1)
    p1 = p + 1
    m1 = elimna(cbind(x1, y1))
    x1 = m1[, 1:p]
    y1 = m1[, p1]
    x2 = as.matrix(x2)
    p = ncol(x2)
    p1 = p + 1
    m2 = elimna(cbind(x2, y2))
    x2 = m2[, 1:p]
    y2 = m2[, p1]
    if (xout) {
        m <- cbind(x1, y1)
        flag <- outfun(x1, plotit = FALSE, ...)$keep
        m <- m[flag, ]
        x1 <- m[, 1:p]
        y1 <- m[, p1]
        m <- cbind(x2, y2)
        flag <- outfun(x2, plotit = FALSE, ...)$keep
        m <- m[flag, ]
        x2 <- m[, 1:p]
        y2 <- m[, p1]
    }
    nv = c(length(y1), length(y2))
    if (is.null(pts[1])) {
        x1 <- as.matrix(x1)
        pts <- ancdes(x1)
    }
    pts <- as.matrix(pts)
    ntests = nrow(pts)
    mat <- matrix(NA, ntests, 8)
    dimnames(mat) <- list(NULL, c("Est 1", "Est 2", "DIF", "TEST", 
        "se", "ci.low", "ci.hi", "p.value"))
    sqsd1 = regYvar(x1, y1, pts = pts, regfun = regfun, nboot = nboot, 
        SEED = FALSE, xout = FALSE, outfun = outfun, ...)
    sqsd2 = regYvar(x2, y2, pts = pts, regfun = regfun, nboot = nboot, 
        SEED = FALSE, xout = FALSE, outfun = outfun, ...)
    est1 = regYhat(x1, y1, regfun = regfun, xr = pts, xout = FALSE, 
        outfun = outfun, ...)
    est2 = regYhat(x2, y2, regfun = regfun, xr = pts, xout = FALSE, 
        outfun = outfun, ...)
    mat[, 1] = est1
    mat[, 2] = est2
    est = est1 - est2
    mat[, 3] = est
    sd = sqrt(sqsd1 + sqsd2)
    mat[, 5] = sd
    tests = (est1 - est2)/sd
    mat[, 4] = tests
    pv = 2 * (1 - pnorm(abs(tests)))
    mat[, 8] = pv
    crit = NULL
    if (ntests == 1) 
        crit = qnorm(1 - alpha/2)
    if (length(pts) > 1) {
        if (ntests <= 28) {
            if (alpha == 0.05) 
                crit <- smmcrit(Inf, ntests)
            if (alpha == 0.01) 
                crit <- smmcrit01(Inf, ntests)
        }
        if (ntests > 28) 
            crit = smmvalv2(dfvec = rep(Inf, nrow(pts)), alpha = alpha)
        if (is.null(crit)) 
            crit = smmvalv2(dfvec = rep(Inf, nrow(pts)), alpha = alpha)
    }
    mat[, 6] = est - crit * sd
    mat[, 7] = est + crit * sd
    list(n = nv, points = pts, output = mat)
  }

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