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  1. 7 kwi 2016 · I want to access the first row one element at a time, convert each to string, and then reverse it. I've tried as.character(df1[1]) and toString(df1[1]) but they both give me "1" as the result. Could someone explain the error and how I could rectify it?

  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. 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.

  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. 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 ...

  6. 7 lis 2019 · In this guide, you will learn about the tricks and techniques of manipulating dataframes in R using the popular package dplyr. The 'dplyr' library offers several powerful functions to manipulate the dataframe, which is a two-dimensional data structure containing rows and columns.

  7. 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.

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