Hello, I have a workflow yields a character matrix that I convert to a tibble. Here is a simple example.
library(tibble) library(readr) m <- matrix(c(letters[1:12], 1:4, (11:14 + 0.2)), ncol = 5) colnames(m) <- LETTERS[1:5] x <- as_tibble(m) # # A tibble: 4 × 5 # A B C D E # <chr> <chr> <chr> <chr> <chr> # 1 a e i 1 11.2 # 2 b f j 2 12.2 # 3 c g k 3 13.2 # 4 d h l 4 14.2 The workflow output columns can be a mix of a known set column outputs. Some of the columns really should be converted to non-character types before I proceed. Right now I explictly set the column classes with something like this... mode(x[['D']]) <- 'integer' mode(x[['E']]) <- 'numeric' # # A tibble: 4 × 5 # A B C D E # <chr> <chr> <chr> <int> <dbl> # 1 a e i 1 11.2 # 2 b f j 2 12.2 # 3 c g k 3 13.2 # 4 d h l 4 14.2 I wonder if there is a way to use the read_* functions in the readr package to read the character matrix into a tibble directly which would leverage readr's excellent column class guessing. I can see in the vignette ( https://cran.r-project.org/web/packages/readr/vignettes/readr.html ) that I'm not too far off in thinking this could be done (step 1 tantalizingly says 'The flat file is parsed into a rectangular matrix of strings.') I know that I could either write the matrix to a file or paste it all into a character vector and then use read_* functions, but I confess I am looking for a straighter path by simply passing the matrix to a function like readr::read_matrix() or the like. Thanks! Ben Ben Tupper Bigelow Laboratory for Ocean Sciences 60 Bigelow Drive, P.O. Box 380 East Boothbay, Maine 04544 http://www.bigelow.org ______________________________________________ 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.
