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You are here: Home / Data Science / Most Useful R Packages for Data Science

Most Useful R Packages for Data Science

April 8, 2018 by cmdlinetips

Ever wondered what are the most useful R packages for doing Data Science? Don’t have to wonder anymore, RStudio has collated a list of most useful R packages in its github repository titled “RStartHere“.

How did R Studio come up with the list for doing Data Science? RStudio used the iconic Data Science work flow image and identified R packages useful for each of the steps.

Most Useful R Packages for Data Science
R Packages for Data Science

And made a call on whether the R package is useful by following criteria.

The package

  • runs fast, with few errors.
  • has an intuitive syntax that is easy to remember.
  • plays well with other packages; you do not need to munge your data into new forms to use the package.
  • is widely used and recommended by its users.
  • has a development website, or series of vignettes
  • .is developed in the open.
  • uses tests to ensure that it will be stable and bug free well into the future.
  • is stable and available from CRAN, or we are personally involved with the package and committed to its development.
  • The R Packages list contains awesome packages, not just the ones from RStudio’s tidyverse. And defnitely a few you may not have heard of. Enough describing, check out the awesome list of R packages for doing Data Science yourself.

  • https://github.com/rstudio/RStartHere
  • You can also have a look at the list of popular R packages that did not make it to the most useful for data science, either it is not a data science tool (like RCurl) or did not meet the above criteria, like MASS which has no development website and no vignette.

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    Filed Under: Data Science, R Packages for Data Science, R Tips, RStudio Tagged With: Data Science, R Packages for Data Science, R Tips

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