[R] What is new in R especially about Tidyverse.

Eric Berger er|cjberger @end|ng |rom gm@||@com
Sun Nov 27 09:49:31 CET 2022

Hi Abdullah,
The Tidyverse is a set of R packages that are designed to work well
together for handling a variety of common tasks in data science. Many of
these packages are written by Hadley Wickham, chief scientist at


RStudio.com is a commercial company which provides both free and non-free
products for data science. Many R users use the free IDE RStudio provided
by them. The company recently changed its name from RStudio.com to Posit,
as it wants to emphasize that its tools are not restricted to R (e.g.
Python is supported, Quarto for documents, etc)

I suggest you look at the resources available at https::/posit.co as a

Besides the tidyverse packages, you might want to investigate how different
groups have used the tidyverse philosophy (and packages) to provide groups
of packages for handling specific sub-disciplines in data science. For
example, Rob Hyndman's group has created the tidyverts (the 'ts' refers to
time series) which extends the tidyverse packages and also contributed
additional packages. The tidyverts facilitates time series forecasting.

Good luck,

On Sun, Nov 27, 2022 at 10:16 AM Abdullah DOĞRUL <dgrlabdullah using gmail.com>

> To whom it may concern,
> Currently I'm doing my MSc in Turkey. My department is Industrial
> Engineering. I'm going to do my thesis about Tidyverse in R. I'm looking
> for articles which contain what is new, what changed and what is
> Tidyverse's contributions?
> I need a help about how to find those articles. I have found some of
> articles. But, probably they'll not help much.
> Thank you for your help.
> Best regards.
> Abdullah DOĞRUL
>         [[alternative HTML version deleted]]
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

	[[alternative HTML version deleted]]

More information about the R-help mailing list