ancboot:

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

Usage

ancboot(x1, y1, x2, y2, fr1 = 1, fr2 = 1, tr = 0.2, nboot = 599, pts = NA, plotit = TRUE, xout = FALSE, outfun = outpro, ...)

Arguments

x1
y1
x2
y2
fr1
fr2
tr
nboot
pts
plotit
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, fr1 = 1, fr2 = 1, tr = 0.2, nboot = 599, 
    pts = NA, plotit = TRUE, xout = FALSE, outfun = outpro, ...) 
{
    if (is.na(pts[1])) {
        isub <- c(1:5)
        test <- c(1:5)
        m1 = elimna(cbind(x1, y1))
        x1 = m1[, 1]
        y1 = m1[, 2]
        m1 = elimna(cbind(x2, y2))
        x2 = m1[, 1]
        y2 = m1[, 2]
        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, 8)
        dimnames(mat) <- list(NULL, c("X", "n1", "n2", "DIF", 
            "TEST", "ci.low", "ci.hi", "p.value"))
        gv1 <- vector("list")
        for (i in 1:5) {
            j <- i + 5
            temp1 <- y1[near(x1, x1[isub[i]], fr1)]
            temp2 <- y2[near(x2, x1[isub[i]], fr2)]
            temp1 <- temp1[!is.na(temp1)]
            temp2 <- temp2[!is.na(temp2)]
            mat[i, 2] <- length(temp1)
            mat[i, 3] <- length(temp2)
            gv1[[i]] <- temp1
            gv1[[j]] <- temp2
        }
        I1 <- diag(5)
        I2 <- 0 - I1
        con <- rbind(I1, I2)
        test <- linconb(gv1, con = con, tr = tr, nboot = nboot)
        for (i in 1:5) {
            mat[i, 1] <- x1[isub[i]]
        }
        mat[, 4] <- test$psihat[, 2]
        mat[, 5] <- test$test[, 2]
        mat[, 6] <- test$psihat[, 3]
        mat[, 7] <- test$psihat[, 4]
        mat[, 8] <- test$test[, 4]
    }
    if (!is.na(pts[1])) {
        n1 <- 1
        n2 <- 1
        vecn <- 1
        for (i in 1:length(pts)) {
            n1[i] <- length(y1[near(x1, pts[i], fr1)])
            n2[i] <- length(y2[near(x2, pts[i], fr2)])
            if (n1[i] <= 5) 
                paste("Warning, there are", n1[i], " points corresponding to the design point X=", 
                  pts[i])
            if (n2[i] <= 5) 
                paste("Warning, there are", n2[i], " points corresponding to the design point X=", 
                  pts[i])
        }
        mat <- matrix(NA, length(pts), 9)
        dimnames(mat) <- list(NULL, c("X", "n1", "n2", "DIF", 
            "TEST", "se", "ci.low", "ci.hi", "p.value"))
        gv <- vector("list", 2 * length(pts))
        for (i in 1:length(pts)) {
            g1 <- y1[near(x1, pts[i], fr1)]
            g2 <- y2[near(x2, pts[i], fr2)]
            g1 <- g1[!is.na(g1)]
            g2 <- g2[!is.na(g2)]
            j <- i + length(pts)
            gv[[i]] <- g1
            gv[[j]] <- g2
        }
        I1 <- diag(length(pts))
        I2 <- 0 - I1
        con <- rbind(I1, I2)
        test <- linconb(gv, con = con, tr = tr, nboot = nboot)
        mat[, 1] <- pts
        mat[, 2] <- n1
        mat[, 3] <- n2
        mat[, 4] <- test$psihat[, 2]
        mat[, 5] <- test$test[, 2]
        mat[, 6] <- test$test[, 3]
        mat[, 7] <- test$psihat[, 3]
        mat[, 8] <- test$psihat[, 4]
        mat[, 9] <- test$test[, 4]
    }
    if (plotit) {
        if (xout) {
            flag <- outfun(x1, ...)$keep
            x1 <- x1[flag]
            y1 <- y1[flag]
            flag <- outfun(x2, ...)$keep
            x2 <- x2[flag]
            y2 <- y2[flag]
        }
        runmean2g(x1, y1, x2, y2, fr = fr1, est = mean, tr = tr)
    }
    list(output = mat, crit = test$crit)
  }

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