[HN Gopher] Modern Text Features in R
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       Modern Text Features in R
        
       Author : danso
       Score  : 107 points
       Date   : 2021-03-05 15:34 UTC (7 hours ago)
        
 (HTM) web link (www.tidyverse.org)
 (TXT) w3m dump (www.tidyverse.org)
        
       | chunkyks wrote:
       | Is tidyverse still fundamentally license incompatible with
       | everything? Last I checked, it included both gpl2-only, and
       | gplv3+, modules. That prevented my company from releasing code
       | that we wanted to.
       | 
       | (this is really a pervasive problem across the r ecosystem, but
       | tidyverse really seals the deal because it's so popular)
        
         | hadley wrote:
         | We are in the middle of a process to systematically re-license
         | as much as possible as MIT. More on that soon.
        
           | chunkyks wrote:
           | I had noticed some threads about this on stringi/r. Glad to
           | hear its more systemic!
        
           | airstrike wrote:
           | Thanks, Hadley. I really just wanted to say you're amazing,
           | on the off chance nobody has told you that today.
        
         | danso wrote:
         | R itself is GPL2/GPL3:
         | https://cran.r-project.org/doc/FAQ/R-FAQ.html#Can-I-use-R-fo...
        
           | linspace wrote:
           | I think that a compiler or interpreter using GPL does not
           | affect you in the same way as a library.
        
         | Tarq0n wrote:
         | Are you bundling dependencies? In the R ecosystem you can just
         | make users download libraries themselves.
        
         | kec wrote:
         | A quick look and all the packages are MIT except for purrr
         | which is gpl2.
        
           | JHonaker wrote:
           | There's a mix of GPL-2, GPL-3, and MIT.
        
       | the_gastropod wrote:
       | I've been wanting to learn R for a bit. Does anyone know of any
       | good resources for learning the basics?
        
         | nsm wrote:
         | As someone who already knows how to program, I've really liked
         | https://r4ds.had.co.nz/index.html.
         | 
         | It jumps right into visualization from the very beginning,
         | which is great as a feedback mechanism, and also highlights R's
         | strengths (ggplot2).
        
           | vharuck wrote:
           | This is definitely a great intro to the parts of R that are
           | relevant for all types of analysis. After you get comfortable
           | with this and want to do some domain-specific analysis, check
           | out the R Task Views[0] on the official site. You can read
           | brief summaries of what packages are available for different
           | analysis tasks. Really useful, considering how many packages
           | are on the official repository (CRAN).
           | 
           | To see more of what a package does and how to use it, look
           | for vignettes on the package description page. For example,
           | the `forecast` package[1] includes a journal article.
           | 
           | You could also look on bookdown.org, which showcases some
           | online books made using the titular package. The are a lot of
           | "Doing X with R" guides among them.
           | 
           | [0] https://cran.r-project.org/web/views/
           | 
           | [1] https://cran.r-project.org/package=forecast
        
         | jarenmf wrote:
         | This is a good start for the basics
         | https://learnxinyminutes.com/docs/r/
        
         | wittjeff wrote:
         | https://www.edx.org/course/data-science-r-basics Disclosure: I
         | work for edX.
        
         | phillc73 wrote:
         | Pete Dalgaard's Introductory Statistics with R is a good book,
         | but not free online as far as I know.[1]
         | 
         | Or go to the source with An Introduction to R[2][3]
         | 
         | I also enjoyed Norm Matloff's fasteR tutorial.[4]
         | 
         | [1] https://www.springer.com/gp/book/9780387790534
         | 
         | [2]
         | https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf
         | 
         | [3] https://intro2r.com/the-aim-of-this-book.html
         | 
         | [4] https://github.com/matloff/fasteR
        
       | SubiculumCode wrote:
       | Can this integrate with ggplot2?
        
         | jcheng wrote:
         | Yes, the example in the blog post uses ggplot2.
        
       | elsherbini wrote:
       | Very cool that you can register font names that have styles
       | attached. And all of the ligature support seems great for adding
       | math expressions to your plots.
        
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