twolsreg:

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

Usage

twolsreg(x1, y1, x2, y2)

Arguments

x1
y1
x2
y2

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) 
{
    nboot <- 599
    set.seed(2)
    xy = elimna(cbind(x1, y1))
    if (ncol(xy) > 2) 
        stop("This function only allows one covariate")
    x1 = xy[, 1]
    y1 = xy[, 2]
    xy = elimna(cbind(x2, y2))
    x2 = xy[, 1]
    y2 = xy[, 2]
    data1 <- matrix(sample(length(y1), size = length(y1) * nboot, 
        replace = TRUE), nrow = nboot)
    bvec1 <- apply(data1, 1, twolsregsub, x1, y1)
    data2 <- matrix(sample(length(y2), size = length(y2) * nboot, 
        replace = TRUE), nrow = nboot)
    bvec2 <- apply(data2, 1, twolsregsub, x2, y2)
    bvec <- bvec1 - bvec2
    ilow <- 15
    ihi <- 584
    if (length(y1) + length(y2) < 250) {
        ilow <- 14
        ihi <- 585
    }
    if (length(y1) + length(y2) < 180) {
        ilow <- 11
        ihi <- 588
    }
    if (length(y1) + length(y2) < 80) {
        ilow <- 8
        ihi <- 592
    }
    if (length(y1) + length(y2) < 40) {
        ilow <- 7
        ihi <- 593
    }
    bsort <- sort(bvec)
    b1 <- lsfit(x1, y1)$coef[2]
    b2 <- lsfit(x2, y2)$coef[2]
    ci <- c(bsort[ilow], bsort[ihi])
    list(b1 = b1, b2 = b2, ci = ci)
  }

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