Let's start by creating a table of summary statistics for the test score variable and key student and teacher characteristics. Again, only focusing on the kingergarten class.

First, create the test score variable and new female, white and freelunch indicators using the information in gender, ethnicity and lunchk. Note: Although ethnicity has six categories, all but a few students are either White or Black.

R Code

STAR2 <- STAR2 %>% mutate(white = case_when(ethnicity == "" ~ 1, TRUE ~ 0), #race female = case_when(gender == "" ~ 1, TRUE ~ 0), #gender freelunch = case_when(lunchk == "" ~ 1, TRUE ~ 0)) #lunch