Does anybody know what is relation between 'T' value calculated by 'wilcox_test' function (coin package) and more common 'W' value?
Jarek Tuszynski >library(coin) > ### Tritiated Water Diffusion Across Human Chorioamnion > ### Hollander & Wolfe (1999), Table 4.1, page 110 > water_transfer <- data.frame( + pd = c(0.80, 0.83, 1.89, 1.04, 1.45, 1.38, 1.91, 1.64, 0.73, 1.46, + 1.15, 0.88, 0.90, 0.74, 1.21), + age = factor(c(rep("At term", 10), rep("12-26 Weeks", 5)))) > > ### Wilcoxon-Mann-Whitney test, cf. Hollander & Wolfe (1999), page 111 > ### exact p-value and confidence interval for the difference in location > ### (At term - 12-26 Weeks) > wt <- wilcox_test(pd ~ age, data = water_transfer, distribution = "exact", conf.int = TRUE) > print(wt) Exact Wilcoxon Mann-Whitney Rank Sum Test data: pd by groups 12-26 Weeks, At term T = -1.2247, p-value = 0.2544 alternative hypothesis: true mu is not equal to 0 95 percent confidence interval: -0.76 0.15 sample estimates: difference in location -0.305 [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html