ifr_chisq_gof_test: Chi Square Goodness of Fit Test

In inferr: Inferential Statistics

Chi Square Goodness of Fit Test

Description

Test whether the observed proportions for a categorical variable differ from hypothesized proportions

Usage

ifr_chisq_gof_test(data, x, y, correct = FALSE)

Arguments

data	a data.frame or tibble
x	factor; column in data
y	expected proportions
correct	logical; if TRUE continuity correction is applied

Value

ifr_chisq_gof_test returns an object of class "ifr_chisq_gof_test". An object of class "ifr_chisq_gof_test" is a list containing the following components:

categories	levels of x
chisquare	chi square statistic
deviation	deviation of observed from frequency
degrees_of_freedom	chi square degrees of freedom
expected_frequency	expected frequency/proportion
n_levels	number of levels of x
observed_frequency	observed frequency/proportion
pvalue	p-value
sample_size	number of observations
std_residuals	standardized residuals
varname	name of categorical variable

Deprecated Function

infer_chisq_gof_test() has been deprecated. Instead use ifr_chisq_gof_test()

References

Sheskin, D. J. 2007. Handbook of Parametric and Nonparametric Statistical Procedures, 4th edition. : Chapman & Hall/CRC.

See Also

chisq.test

Examples

ifr_chisq_gof_test(hsb, race, c(20, 20, 20, 140))

# apply continuity correction
ifr_chisq_gof_test(hsb, race, c(20, 20, 20, 140), correct = TRUE)

inferr documentation built on April 4, 2025, 2:08 a.m.