Chi-square tests
In addition to Pearson's correlations and t-tests, chi-square tests and contingency tables are useful tools to assess associations between two categorical variables. In this exercise you will create basic and customized contingency tables and perform Chi-square tests.
As explained in the preceding video, when using the dplyr pipe %>% operator, you will need to nest the table() and gmodels::CrossTable() functions inside the with() function.
The abaloneKeep dataset, dplyr and gmodels packages have been loaded for you.
This exercise is part of the course
R For SAS Users
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create frequency table of sex by agecat
___ <- ___ %>%
with(___)