[R] compare the sum, and report with if{}else if{}

You may need to compare the frequency of inquiries about grade distribution and teaching style in the GE_survey dataset. Assuming you have variables in your dataset that represent these inquiries (let's call them Q_grade_distribution and Q_teaching_style for this example), you can use the sum() function to count the number of "Yes" responses for each inquiry and then compare them. Here's how you might do it:

# Count the number of inquiries about grade distribution
inquiries_grade_distribution <- sum(GE_survey$Q_grade_distribution == "Yes", na.rm = TRUE)
 
# Count the number of inquiries about teaching style
inquiries_teaching_style <- sum(GE_survey$Q_teaching_style == "Yes", na.rm = TRUE)
 
# Compare the inquiries
if (inquiries_grade_distribution > inquiries_teaching_style) {
    print("Students are more likely to inquire about grade distribution.")
} else if (inquiries_grade_distribution < inquiries_teaching_style) {
    print("Students are more likely to inquire about teaching style.")
} else {
    print("Students are equally likely to inquire about grade distribution and teaching style.")
}

In this code, Q_grade_distribution and Q_teaching_style should be replaced with the actual variable names in your GE_survey dataset that represent the inquiries about grade distribution and teaching style, respectively. The sum() function counts the number of "Yes" responses for each inquiry, and the if statement compares the counts to determine which inquiry is more common.