Мой набор данных содержит как числовые, так и категориальные переменные.Могу ли я использовать функцию stepAIC для проведения процедуры автоматического выбора?
full.model <- lm(Percentage ~ Total_testscore + Campus + Programme +
Gender + SE_track + Hours_Math_SE, data = mydata)
step.model <- stepAIC(full.model, direction = "both",trace = FALSE)
summary(step.model)
> str(mydata)
Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 242 obs. of 49 variables:
$ Campus : Factor w/ 2 levels "KU Leuven Campus Sint-Lucas Brussel",..: 2 2 2 2 2 2 2 2 2 1 ...
$ Gender : Factor w/ 2 levels "male","female": 1 1 1 2 2 1 2 1 2 2 ...
$ Generation_student : Factor w/ 2 levels "J","N": 1 1 1 1 1 1 1 1 1 1 ...
$ New_in_programme : Factor w/ 2 levels "J","N": 1 1 1 1 1 1 1 1 1 1 ...
$ Programme : Factor w/ 4 levels "ArchBrus","ArchGent",..: 2 2 2 2 2 2 2 2 2 3 ...
$ SE_track : Factor w/ 3 levels "ASO","KSO","TSO": 1 2 3 1 1 1 2 3 1 3 ...
$ Secondary_education : Factor w/ 72 levels "2e lj 3e gr Architecturale vorming KSO",..: 28 16 25 30 28 70 16 25 28 62 ...
$ Hours_Math_SE : num 3 6 4 6 4 6 6 4 3 3 ...
$ Total_testscore : num 13 11 12 11 9 13 12 12 14 8 ...
$ CSE : num 33 67 100 67 17 50 83 100 100 50 ...
$ Percentage : num 30.8 50 59.2 56.7 40 ...