ggchisqtest: Plot for Pearson's Chi-squared Test for Count Data

In gginference: Visualise the Results of Inferential Statistics using 'ggplot2'

Description

Visualise chi-squared contingency table tests and goodness-of-fit tests.

Usage

ggchisqtest(t, colaccept="lightsteelblue1", colreject="gray84", 
colstat="navyblue", alpha=0.05)

Arguments

t	a list result of chisq.test of "htest" class
colaccept	color the acceptance area of the test
colreject	color for the rejection area of the test
colstat	color for the test statistic vline
alpha	default set to 0.05, choose confidence level for the plot as it is not stated in chisqtest

Examples

## Chi-squared test for given probabilities

x <- c(A = 20, B = 15, C = 25)
chisq_test <- chisq.test(x)
chisq_test
ggchisqtest(chisq_test)


x <- c(10, 86, 45, 38, 10)
p <- c(0.10, 0.40, 0.20, 0.20, 0.10)
chisq_test2 <- chisq.test(x, p = p)
chisq_test2
ggchisqtest(chisq_test2)



## Pearson's Chi-squared test

library(MASS)
sex_smoke <- table(survey$Sex, survey$Smoke)
chisq_test3 <- chisq.test(sex_smoke)
chisq_test3
ggchisqtest(chisq_test3)

gginference documentation built on Nov. 10, 2020, 5:10 p.m.