> table(indvar_FODs$categorical_FOD_FODs) ascending descending identity 1683 1432 206 > table(indvar_FODs$Condition_FODs) A B C D 880 880 880 880 > table(indvar_FODs$Language_used_FODs) English German Hungarian Italian Turkish 880 160 160 160 2160 categorical_FOD_FODs is my dependent variable I want to test if there is significan difference between the Language_used_FODs levels, among the four Condition_FODs

> my_data <- indvar_FODs %>% 
+   group_by(Condition_FODs, Language_used_FODs) %>%
+   summarise(mean = mean(categorical_FOD_FODs))

> my_data
# A tibble: 20 x 3
# Groups:   Condition_FODs [4]
   Condition_FODs Language_used_FODs  mean
   <fct>          <fct>                  
 1 A              English            0.7477272
 2 A              German             0.6437500
 3 A              Hungarian          0.8125000
 4 A              Italian            0.5375000
 5 A              Turkish            0.8689873
 6 B              English            0.7738636
 7 B              German             0.8875000
 8 B              Hungarian          0.9062500
 9 B              Italian            0.7125000
10 B              Turkish            0.9528302
11 C              English            0.7397727
12 C              German             0.618