Dancts:

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

Usage

Dancts(x1, y1, x2, y2, pts = NULL, regfun = tsreg, fr1 = 1, fr2 = 1, alpha = 0.05, plotit = TRUE, xout = FALSE, outfun = out, BLO = FALSE, nboot = 100, SEED = TRUE, xlab = "X", ylab = "Y", pr = TRUE, ...)

Arguments

x1
y1
x2
y2
pts
regfun
fr1
fr2
alpha
plotit
xout
outfun
BLO
nboot
SEED
xlab
ylab
pr
...

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, pts = NULL, regfun = tsreg, fr1 = 1, 
    fr2 = 1, alpha = 0.05, plotit = TRUE, xout = FALSE, outfun = out, 
    BLO = FALSE, nboot = 100, SEED = TRUE, xlab = "X", ylab = "Y", 
    pr = TRUE, ...) 
{
    x1 = as.matrix(x1)
    x2 = as.matrix(x2)
    if (ncol(x1) != ncol(x2)) 
        stop("x1 and x2 have different number of columns")
    if (SEED) 
        set.seed(2)
    FLAG = pts
    X = elimna(cbind(x1, y1, x2, y2))
    if (ncol(X) > 4) 
        stop("Only one covariate is allowed")
    x1 = as.matrix(x1)
    x2 = as.matrix(x2)
    p = ncol(x1)
    p1 = p + 1
    p2 = p + 2
    p3 = p1 + p
    p4 = p3 + 1
    x1 = X[, 1:p]
    y1 = X[, p1]
    x2 = X[, p2:p3]
    y2 = X[, p4]
    if (xout) {
        flag1 = outfun(x1)$out.id
        flag2 = outfun(x2)$out.id
        flag = unique(c(flag1, flag2))
        if (length(flag) > 0) 
            X = X[-flag, ]
        x1 = X[, 1:p]
        y1 = X[, p1]
        x2 = X[, p2:p3]
        y2 = X[, p4]
    }
    flagF = identical(regfun, tsreg)
    if (flagF) {
        if (pr) {
            if (sum(duplicated(y1) > 0)) 
                print("Duplicate values detected; regfun=tshdreg might have more power than tsreg")
            pr = FALSE
        }
        if (pr) {
            if (sum(duplicated(y2) > 0)) 
                print("Duplicate values detected; regfun=tshdreg might have more power than tsreg")
        }
    }
    if (is.null(pts[1])) {
        npt <- 5
        isub <- c(1:5)
        test <- c(1:5)
        xorder <- order(x1)
        y1 <- y1[xorder]
        x1 <- x1[xorder]
        xorder <- order(x2)
        y2 <- y2[xorder]
        x2 <- x2[xorder]
        n1 <- 1
        n2 <- 1
        vecn <- 1
        for (i in 1:length(x1)) n1[i] <- length(y1[near(x1, x1[i], 
            fr1)])
        for (i in 1:length(x1)) n2[i] <- length(y2[near(x2, x1[i], 
            fr2)])
        for (i in 1:length(x1)) vecn[i] <- min(n1[i], n2[i])
        sub <- c(1:length(x1))
        isub[1] <- min(sub[vecn >= 12])
        isub[5] <- max(sub[vecn >= 12])
        isub[3] <- floor((isub[1] + isub[5])/2)
        isub[2] <- floor((isub[1] + isub[3])/2)
        isub[4] <- floor((isub[3] + isub[5])/2)
        mat <- matrix(NA, 5, 9)
        dimnames(mat) <- list(NULL, c("X", "Est1", "Est2", "DIF", 
            "TEST", "se", "ci.low", "ci.hi", "p.value"))
        pts = x1[isub]
        mat[, 1] = pts
        sqsd = difregYvar(x1, y1, x2, y2, regfun = regfun, pts = pts, 
            nboot = nboot, SEED = SEED)
        est1 = regYhat(x1, y1, xr = pts, regfun = regfun)
        est2 = regYhat(x2, y2, xr = pts, regfun = regfun)
        mat[, 2] = est1
        mat[, 3] = est2
        est = est1 - est2
        mat[, 4] = est
        sd = sqrt(sqsd)
        mat[, 6] = sd
        tests = (est1 - est2)/sd
        mat[, 5] = tests
        pv = 2 * (1 - pnorm(abs(tests)))
        mat[, 9] = pv
        crit <- smmcrit(Inf, 5)
        mat[, 7] = est - crit * sd
        mat[, 8] = est + crit * sd
    }
    if (!is.null(FLAG)) {
        n1 = 1
        n2 = 1
        for (i in 1:length(pts)) {
            n1[i] <- length(y1[near(x1, pts[i], fr1)])
            n2[i] <- length(y2[near(x2, pts[i], fr2)])
        }
        mat <- matrix(NA, length(pts), 9)
        dimnames(mat) <- list(NULL, c("X", "Est1", "Est2", "DIF", 
            "TEST", "se", "ci.low", "ci.hi", "p.value"))
        mat[, 1] <- pts
        sqsd = difregYvar(x1, y1, x2, y2, regfun = regfun, pts = pts, 
            nboot = nboot, SEED = SEED)
        est1 = regYhat(x1, y1, xr = pts, regfun = regfun)
        est2 = regYhat(x2, y2, xr = pts, regfun = regfun)
        mat[, 2] = est1
        mat[, 3] = est2
        est = est1 - est2
        mat[, 4] = est
        sd = sqrt(sqsd)
        mat[, 6] = sd
        tests = (est1 - est2)/sd
        mat[, 5] = tests
        pv = 2 * (1 - pnorm(abs(tests)))
        mat[, 9] = pv
        crit <- smmcrit(Inf, length(pts))
        mat[, 7] = est - crit * sd
        mat[, 8] = est + crit * sd
    }
    if (plotit) {
        if (xout) {
            flag <- outfun(x1, ...)$keep
            x1 <- x1[flag]
            y1 <- y1[flag]
            flag <- outfun(x2, ...)$keep
            x2 <- x2[flag]
            y2 <- y2[flag]
        }
        plot(c(x1, x2), c(y1, y2), type = "n", xlab = xlab, ylab = ylab)
        points(x1, y1, pch = "o")
        points(x2, y2, pch = "+")
        abline(regfun(x1, y1)$coef)
        abline(regfun(x2, y2)$coef, lty = 2)
    }
    list(output = mat)
  }

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