On Mon, 1 Nov 2021, Jeff Newmiller wrote:
More explicitly... look at rows past the first row. If your csv has 300 rows and column 1 has something non-numeric in row 299 then the whole column gets imported as character data. Try cor_disc[[ 1 ]] |> as.numeric() |> is.na() |> where() to find suspect rows. You may want to read about the na argument to read_csv in ?read_csv.
Jeff, cor_disc has 415264 rows.
cor_disc[[ 1 ]] |> as.numeric() |> is.na() |> where()
Error in where(is.na(as.numeric(cor_disc[[1]]))) : could not find function "where" Searching for 'where' in ?read_csv finds only where each character represents one column: And, if there was such a non-numeric in any row of column 1 wouldn't read.csv() also catch it and throw an error? Thanks, Rich ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
