ggchisqtest {gginference} | R Documentation |
Plot for Pearson's Chi-squared Test for Count Data
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 |
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)
[Package gginference version 0.1.3 Index]