This function is wrapped by prop.test(), which most users should use instead.
Usage
prop_test(
x,
n,
p = NULL,
alternative = c("two.sided", "less", "greater"),
conf.level = 0.95,
...
)Arguments
- x
a vector, count, or formula.
- n
a vector of counts of trials (not needed when
xis a table or matrix).- p
a vector of probabilities of success (for the null hypothesis). The length must be the same as the number of groups specified by
x.- alternative
a character string specifying the alternative hypothesis, must be one of
"two.sided"(default),"greater"or"less". You can specify just the initial letter. Only used for testing the null that a single proportion equals a given value, or that two proportions are equal; ignored otherwise.- conf.level
confidence level of the returned confidence interval. Must be a single number between 0 and 1. Only used when testing the null that a single proportion equals a given value, or that two proportions are equal; ignored otherwise.
- ...
additional arguments passed to methods.