ifr_mcnemar_test: McNemar Test

In inferr: Inferential Statistics

McNemar Test

Description

Test if the proportions of two dichotomous variables are equal in the same population.

Usage

ifr_mcnemar_test(data, x = NULL, y = NULL)

Arguments

data	a data.frame or tibble
x	factor; column in data
y	factor; column in data

Value

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

statistic	chi square statistic
df	degrees of freedom
pvalue	p-value
exactp	exact p-value
cstat	continuity correction chi square statistic
cpvalue	continuity correction p-value
kappa	kappa coefficient; measure of interrater agreement
std_err	asymptotic standard error
kappa_cil	95% kappa lower confidence limit
kappa_ciu	95% kappa upper confidence limit
cases	cases
controls	controls
ratio	ratio of proportion with factor
odratio	odds ratio
tbl	two way table

Deprecated Function

infer_mcnermar_test() has been deprecated. Instead use ifr_mcnemar_test().

References

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

See Also

mcnemar.test

Examples

# using variables from data
hb <- hsb
hb$himath <- ifelse(hsb$math > 60, 1, 0)
hb$hiread <- ifelse(hsb$read > 60, 1, 0)
ifr_mcnemar_test(hb, himath, hiread)

# test if the proportion of students in himath and hiread group is same
himath <- ifelse(hsb$math > 60, 1, 0)
hiread <- ifelse(hsb$read > 60, 1, 0)
ifr_mcnemar_test(table(himath, hiread))

# using matrix
ifr_mcnemar_test(matrix(c(135, 18, 21, 26), nrow = 2))

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