binTest {binGroup} | R Documentation |
Calculates p-values for hypothesis tests of a single binomial proportion.
binTest(n, y, p.hyp, alternative = "two.sided", method = "Exact")
n |
single integer value, number of trials (number of individuals under observation) |
y |
single integer value, number of successes (number of individuals showing the trait of interest) |
p.hyp |
single numeric value between 0 and 1, specifying the hypothetical threshold proportion to test against |
alternative |
character string defining the alternative hypothesis, either 'two.sided', 'less' or 'greater' |
method |
character string defining the test method to be used: can be one of "Exact" for an exact test corresponding to the Clopper-Pearson confidence interval, uses binom.test(stats) "Score" for a Score test, corresponding to the Wilson confidence interval "Wald" for a Wald test corresponding to the Wald confidence interval |
A list containing:
p.value |
the p value of the test |
estimate |
the estimated proportion |
p.hyp |
as input |
alternative |
as input |
method |
as input |
Santner, T.J. and Duffy, D.E. (1989) The statistical analysis of discrete data. Springer Verlag New York Berlin Heidelberg. Chapter 2.1.
binom.test(stats) for the exact test and corresponding confindence interval
# 200 seeds are taken from a seed lot. # 2 are found to be defective. # H0: p >= 0.02 shall be rejected in favor of HA: p < 0.02. # The exact test shall be used for decision: binTest(n=200, y=2, p.hyp=0.02, alternative="less", method="Exact" )