ci.mann | R Documentation |
Computes a distribution-free confidence interval for the Mann-Whitney parameter (a "common language effect size"). In a 2-group experiment, this parameter is the proportion of members in the population with scores that would be higher under treatment 1 than treatment 2. In a 2-group nonexperiment where participants are sampled from two subpopulations of sizes N1 and N2, the parameter is the proportion of all N1 x N2 pairs in which a member from subpopulation 1 has a larger score than a member from subpopulation 2.
ci.mann(alpha, y1, y2)
alpha |
alpha level for 1-alpha confidence |
y1 |
vector of scores for group 1 |
y2 |
vector of scores for group 2 |
Returns a 1-row matrix. The columns are:
Estimate - estimated proportion
SE - standard error
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Sen1967statpsych
y2 <- c(36, 44, 47, 42, 49, 39, 46, 31, 33, 48)
y1 <- c(32, 39, 26, 35, 43, 27, 40, 37, 34, 29)
ci.mann(.05, y1, y2)
# Should return:
# Estimate SE LL UL
# 0.795 0.1401834 0.5202456 1
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