Drop data frame columns by name

Question

I want to remove some questions from data frame, I know how to delete them individually using df$x <- NULL But I want to know a shortcut to perform this task. I know how to drop columns using integer index using this command: df <- df[ -c(1, 3:6, 12) ] But I fear this might change the relative position of my variables. So, Is there a better way than dropping each column one by one? Select the correct answer from above options Verbal Reasoning questions and answers, Verbal Reasoning questions pdf, Verbal Reasoning question bank, Verbal Reasoning questions and answers pdf, mcq on Verbal Reasoning pdf,Verbal Reasoning questions and solutions, Verbal Reasoning mcq Test , Interview Verbal Reasoning questions, Verbal Reasoning Questions for Interview, Verbal Reasoning MCQ (Multiple Choice Questions),Core Verbal Reasoning Questions, Core Verbal Reasoning MCQ,core Verbal Reasoning interview questions for experiencedcore Verbal Reasoning interview questions for 3 years experience,Verbal Reasoning programming questions,core Verbal Reasoning interview questions for freshers,Verbal Reasoning interview questions and answers for freshers, Verbal Reasoning programming questions and answers pdf, Verbal Reasoning interview questions for beginners

Answer 1

Subset Command can be useful if you know which column you want: df <- data.frame(q = 2:11, e = 3:12, w = 4:13) df <- subset(df, select = w(q, w)) Or you can also drop columns using: df <- subset(df, select = -w(q, w)) Alternatively you can also use drop argument if you want to keep one column as a data frame, for this use: keeps <- "V" DF[ , keeps, drop = FALSE] To drop unnecessary dimensions use drop=True and finally return a vector with the values of column V Enjoy Learning. Cheers.