prop_test.numeric {catfun} | R Documentation |
Tests for equality of proportions
Description
Conduct 1-sample tests of proportions and tests for equality of k proportions.
Usage
## S3 method for class 'numeric'
prop_test(x, n, p = 0.5, method = c("wald", "wilson",
"agresti-couli", "jeffreys", "modified wilson", "wilsoncc",
"modified jeffreys", "clopper-pearson", "arcsine", "logit", "witting",
"pratt"), alternative = c("two.sided", "less", "greater"),
conf.level = 0.95, correct = FALSE, exact = FALSE, ...)
Arguments
x |
a vector of counts. |
n |
a vector of counts of trials |
p |
a probability for the null hypothesis when testing a single proportion; ignored if comparing multiple proportions. |
method |
a character string indicating method for calculating confidence interval, default is "wald". Options include, wald, wilson, agresti-couli, jeffreys, modified wilson, wilsoncc modified jeffreys, clopper-pearson, arcsine, logit, witting, and pratt. |
alternative |
character string specifying the alternative hypothesis. Possible options are "two.sided" (default), "greater", or "less". |
conf.level |
confidence level for confidence interval, default is 0.95. |
correct |
a logical indicating whether Yate's continuity correction should be applied. |
exact |
a logical indicating whether to output exact p-value, ignored if k-sample test. |
... |
further arguments passed to or from other methods. |
Value
a list with class "prop_test" containing the following components:
x |
number of successes |
n |
number of trials |
p |
null proportion |
statistic |
the value of Pearson's chi-squared test statistic |
p_value |
p-value corresponding to chi-squared test statistic |
df |
degrees of freedom |
method |
the method used to calculate the confidence interval |
method_ci |
confidence interval calculated using specified method |
exact_ci |
exact confidence interval |
exact_p |
p-value from exact test |
Examples
prop_test(7, 50, method = "wald", p = 0.2)
prop_test(7, 50, method = "wald", p = 0.2, exact = TRUE)