ec.mto {binMto} | R Documentation |
This function calculates the exact distribution of the maximum of test statistics with unpooled variance estimators for the difference of many-to-one comparisons of proportion. Using this, p-values for the max-test are computed.
ec.mto(n, x, alternative = "less")
n |
vector of integers specifying the number of trials in each group, where the first value is taken as control |
x |
vector of integers specifying the number of successes in each group, where the first value is taken as control |
alternative |
a character string, one of "two.sided", "greater", "less" |
a single numeric value, the p.value of the maximum test
Frank Schaarschmidt
Koch, H.F. and Hothorn, L.A. (1999): Exact unconditional distributions for dichotomous data in many-to-one comparisons. Journal of Statistical Planning and Inference 82, 83-99 (section 2.1)
# Example from Koch and Hothorn (1999), Table 5:
# Chronic toxicity study in mice over six months.
ec.mto(n=c(40,20,20,20), x=c(4,1,6,8),
alternative= "two.sided")
ec.mto(n=c(40,20,20,20), x=c(4,1,6,8),
alternative= "greater")