binTest {binGroup}R Documentation

Calculate p-values fro hypothesis tests for a single binomial proportion

Description

Calculates p values for hypothesis tests of a single binomial proportion. Exact test, Score test and Wald test(not recommended) are available methods.

Usage

binTest(n, Y, p.hyp, alternative = "two.sided",
 method = "Exact")

Arguments

n integer, number of trials (number of individuals under observation)
Y integer, number of successes ( number of individuals showing the trait of interest
p.hyp number 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 the exact 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, not recommended

Value

A list containing:

p.val the p value of the test
estimate the estimated proportion


and the alternative and threshold proportion p.hyp specified in the function call.

References

Santner, TJ and Duffy, DE (1989): The statistical analysis of discrete data. Springer Verlag New York Berlin Heidelberg. Chapter 2.1.

See Also

binom.test(stats) for the exact test and corresponding confindence interval

Examples


# 200 seeds are taken from a seed lot.
# 2 are found to be defective.
# Is the proportion of defectives in 
# the lot less than 2 per cent? 
# 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" )


[Package binGroup version 0.3-2 Index]