We have started working help write a new rOpenSci package called writexl. This package wraps the very powerful libxlsxwriter library which allows for exporting data to Microsoft Excel xlsx. The major benefit of writexl over other packages is that it is completely written in C and has absolutely zero dependencies. No Java, Perl or Rtools are required.
You can test that data roundtrips properly by reading it back using the readxl package. Write xlsx containing dates and factors get automatically coerced to character strings. Write xlsx can also give it a named list of data frames, in which case each r help write xlsx frame becomes a sheet in the xlsx file:.
The initial version of writexl implements help write most important functionality for R users: However the underlying libxlsxwriter library actually provides far source sophisticated functionality such /zinke-physics-help.html custom formatting, writing complex objects, formulas, etc.
Except where otherwise noted, content on write xlsx site is licensed under the CC-BY license.
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There are many solutions to import and export Excel files using R software. The different ways to connect R and Excel has been already discussed in our previous article [ R Excel essentials:
Previously, we described the essentials of R programming and provided quick start guides for reading and writing txt and csv files using R base functions as well as using a most modern R package named readr , which is faster X10 than R base functions. We also described different ways for reading data from Excel files into R.
There are several options, but I like the xlsx package way of doing things. If you already have a file created, you can add data to a new sheet, or just add it to the existing one. Try re-installing Java and make sure R and Java have matching architectures.
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