A recent message on ansari.test() prompted me to play with the examples. This doesn't work for me in R version 2.4.1
R> ansari.test(rnorm(100), rnorm(100, 0, 2), conf.int = TRUE) Error in uniroot(ab, srange, tol = 1e-04, zq = qnorm(alpha/2, lower = FALSE)) : object "ab" not found It looks like there's a small typo in ccia() inside ansari.test.default() in which 'ab' is passed to uniroot rather than 'ab2'. The definition of ccia below was just copied from https://svn.r-project.org/R/trunk/src/library/stats/R/ansari.test.R ccia <- function(alpha) { ## Check if the statistic exceeds both quantiles ## first. statu <- ab2(srange[1], zq=qnorm(alpha/2)) statl <- ab2(srange[2], zq=qnorm(alpha/2, lower=FALSE)) if (statu > 0 || statl < 0) { warning("samples differ in location: cannot compute confidence set, returning NA") return(c(NA, NA)) } u <- uniroot(ab2, srange, tol=1e-4, zq=qnorm(alpha/2))$root l <- uniroot(ab, srange, tol=1e-4, zq=qnorm(alpha/2, lower=FALSE))$root ## The process of the statistics does not need to be ## monotone: sort is ok here. sort(c(u, l)) } Stephen Rochester, MN USA ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel