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  1. 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.

  2. 7 cze 2019 · We can loop through the columns of the data.frame with lapply, convert to character and assign the output back to the dataset. The [] is used to preserve the attributes of the original data and not output as a list element. dat[] <- lapply(dat, as.character)

  3. To export a DataFrame to a text file in R: write.table(df, "Path to export the DataFrame\\File Name.txt") Add a separator, such as a comma separator: write.table(df, "Path to export the DataFrame\\File Name.txt", sep= ",") Exclude the row numbers: write.table(df, "Path to export the DataFrame\\File Name.txt", row.names= FALSE) Omit the quotes:

  4. 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() .

  5. 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

  6. 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 function is easy to feed ...

  7. This addin allows you to interactively build your regexp, check the output of common string matching functions, consult the interactive help pages, or use the included resources to learn regular expressions.

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