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5 maj 2017 · 6 Answers. Sorted by: 100. EDIT: 2021-03-01. Beginning with dplyr 1.0.0, the _all () function variants are deprecated. The new way to accomplish this is using the new across () function. library (dplyr) mtcars %>% mutate (across (everything (), as.character))
CRAN: Package stringr. stringr: Simple, Consistent Wrappers for Common String Operations. A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one ...
R has different options to store dataframes as plain text files from R. Base R has write.table() and its companions like write.csv(). Some other options are data.table::fwrite() , readr::write_delim() , readr::write_csv() and readr::write_tsv() .
Convert a data frame to a delimited string. Source: R/write.R. These functions are equivalent to write_csv() etc., but instead of writing to disk, they return a string.
Convert an R Object to a Character String Description. This is a helper function for format to produce a single character string describing an R object. Usage toString(x, ...) ## Default S3 method: toString(x, width = NULL, ...) Arguments
The stringr package provides a cohesive set of functions designed to make working with strings as easy as possible. If you’re not familiar with strings, the best place to start is the chapter on strings in R for Data Science.
17 maj 2010 · You can use this fact to easily and compactly convert factors to strings or numerics like this: > fact_character <- levels(fact)[as.numeric(fact)] > fact_character [1] "a" "b" "a" "d" This also works for numeric values, provided you wrap your expression in as.numeric() .
