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Alex Rivera
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I'm familiar with being able to extract columns from an R data frame (or matrix) like so: df.2 <- df[, c("name1", "name2", "name3")] But can one use a ! or other tool to select all but those listed columns ? For background, I have a data frame with quite a few column vectors and I'd like to avoid: Typing out the majority of the names when I could just remove a minority Using the much shorter df.2 <- df[, c(1,3,5)] because when my .csv file changes, my code goes to heck since the numbering isn't the same anymore. I'm new to R and think I've learned the hard way not to use number vectors for larger df's that might change. I tried: df.2 <- df[, !c("name1", "name2", "name3")] df.2 <- df[, !=c("name1", "name2", "name3")] And just as I was typing this, found out that this works: df.2 <- df[, !names(df) %in% c("name1", "name2", "name3")] Is there a better way than this last one?
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