I am trying to convert the "FRUITS" column into separate columns ("Apple" and "Banana") in wide format.
Gender AgeGroup EAT FRUITS 1 Female 30yr_39yr Yes Apple 2 Female 20yr_29yr Yes Apple 3 Female 70yr_80yr Yes Apple 4 Male 50yr_59yr Yes Banana 5 Female 40yr_49yr Yes Apple 6 Female 70yr_80yr Yes Apple
how to convert FRUITS column into:
Gender AgeGroup EAT Apple Banana 1 Female 30yr_39yr Yes TRUE FALSE2 Female 20yr_29yr Yes TRUE FALSE3 Female 70yr_80yr Yes TRUE FALSE4 Male 50yr_59yr Yes FALSE TRUE5 Female 40yr_49yr Yes TRUE FALSE6 Female 70yr_80yr Yes TRUE FALSE
Here is the dataframe I used:
data.frame( Gender = c("Female", "Female", "Female", "Male", "Female", "Female"), AgeGroup = c("30yr_39yr", "20yr_29yr", "70yr_80yr", "50yr_59yr", "40yr_49yr", "70yr_80yr"), EAT = c("Yes", "Yes", "Yes", "Yes", "Yes", "Yes"), FRUITS = c("Apple", "Apple", "Apple", "Banana", "Apple", "Apple"))