l2drmci:

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

Usage

l2drmci(x, y = NULL, est = median, alpha = 0.05, nboot = 500, SEED = TRUE, pr = TRUE, na.rm = TRUE, ...)

Arguments

x
y
est
alpha
nboot
SEED
pr
na.rm
...

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 = NULL, est = median, alpha = 0.05, nboot = 500, 
    SEED = TRUE, pr = TRUE, na.rm = TRUE, ...) 
{
    if (is.null(y[1])) {
        if (!is.matrix(x) & !is.data.frame(x)) 
            stop("With y missing, x should be a matrix")
    }
    if (!is.null(y[1])) {
        if (length(x) != length(y)) 
            stop("Unequal sample sizes. Might use wmwpb instead")
        x <- cbind(x, y)
    }
    if (ncol(x) != 2) 
        stop("Should have bivariate data")
    if (na.rm) 
        x = elimna(x)
    if (SEED) 
        set.seed(2)
    data <- matrix(sample(nrow(x), size = nrow(x) * nboot, replace = TRUE), 
        nrow = nboot)
    bvec <- NA
    for (i in 1:nboot) bvec[i] <- loc2dif(x[data[i, ], 1], x[data[i, 
        ], 2], est = est, na.rm = na.rm, ...)
    bvec <- sort(bvec)
    low <- round((alpha/2) * nboot) + 1
    up <- nboot - low
    temp <- sum(bvec < 0)/nboot + sum(bvec == 0)/(2 * nboot)
    sig.level <- 2 * (min(temp, 1 - temp))
    list(ci = c(bvec[low], bvec[up]), p.value = sig.level)
  }

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