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.
Este exercício faz parte do curso
R For SAS Users
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Create frequency table of sex by agecat
___ <- ___ %>%
with(___)