prop_test.matrix: Tests for equality of proportions

In catfun: Categorical Data Analysis

Description

Conduct 1-sample tests of proportions and tests for equality of k proportions.

Usage

## S3 method for class 'matrix'
prop_test(x, 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 2 x k matrix.
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

matrix(c(23, 48, 76, 88), nrow = 2, ncol = 2) %>% prop_test()

Example output

Observed proportions: 
● 0.2323
● 0.3529
---------------------------------------- 
Confidence interval method: wald 
Confidence intervals: 
  Lower bound Upper bound
1   0.1491342   0.3155123
2   0.2726252   0.4332571
---------------------------------------- 
2 sample test for equality of proportions 
Chi-squared: 3.953335 
p-value: 0.04678 

catfun documentation built on June 14, 2019, 5:04 p.m.