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RStudio Solutions Engineering
RStudio Solutions Engineering has 26 repositories available. Follow their code on GitHub.
8 days ago by eric-ruser
rOpenSci | .rprofile: Jenny Bryan
JB: No, I wouldn’t say that I always wanted to be a teacher, but I think I’ve enjoyed that above average compared to other professors. But it was more that I realized several years ago that I could have a bigger impact on what people did by improving data analysis workflows, thinking, and tooling instead of trying to make incremental progress on statistical methodology. It is a reflection of where I have a comparative advantage with respect to interest and aptitude, so it’s not really a knock on statistical methodology. But I feel we could use more people working on this side of the field – working on knowledge translation. I was also reacting to what I saw in my collaborative work. I would work with people in genomics and if I’m completely honest with myself, often my biggest contribution to the paper would be getting all the datasets and analyses organized. I didn’t necessarily do some highly sophisticated statistical analysis. It would often boil down to just doing millions of t-tests or something. But the reason I had an impact on the project would be that I got everything organized so that we could re-run it and have more confidence in our results. And I was like, I have a PhD in stats, why is this my main contribution? Why do the postdocs, grad students, and bioinformaticians not know how to do these things? So then I started to make that more and more the focus of my course, instead of squeezing in more statistical methods. Then the teaching sort of changed who I was and what I allowed myself to think about and spend time on. I used to not let myself spend time on those things. Or if I did, I would feel guilty about it because I thought, I can’t get any professional credit for this! It’s not statistically profound, but it seems to be what the world needs me to do, and needs other people to be doing.
Jobs  Women  statistics  rstudio 
11 days ago by cnk
install - Error in R: (Package which is only available in source form, and may need compilation of C/C++/Fortran) - Stack Overflow
There were two good ideas here: 1) using Rtools (; and 2) using binaries from

What I ended up doing to solve this problem (shiny-1.2.0 w/ R 3.3.3 on Windows required httpuv-1.4.5, but only 1.4.1 was available as a binary for R 3.3.x on CRAN), was to download the Windows binary shiny_1.0.5zip from the URL in #2 above.

install.packages("", repos =NULL)
r  rstudio  shiny  packagemanagement  errormessage  sortof  workaround  solution 
17 days ago by kme
Index of /bin/windows/contrib/3.3
When I couldn't install shiny-1.2.0 from the repos (RStudio and R 3.3.3 on Windows) because it required httpuv-1.4.5, when the latest binary for R 3.3.x on Windows in CRAN was httpuv-1.4.1, installing shiny_1.0.5 from here worked.
r  rstudio  shiny  binary  packages  repo  packagemanagement  solution 
17 days ago by kme
Installing older versions of packages – RStudio Support
<code language="R">
install_version("ggplot2", version = "0.9.1", repos = "")

Unfortunately, you will probably need Rtools (on Windows) to build one of the dependencies of 'devtools' (maybe pkgload?).

I ran into this problem where shiny-1.2.0 required httpuv-1.4.5, but only httpuv-1.4.1 was available from the CRAN repos for R 3.3.x.

This might've let me install an older version, but I still had to guess at *which* version of RShiny would've worked with httpuv-1.4.1. What I ended up doing was installing a binary shiny-1.0.5 from
r  rstudio  packagemanagement  sortof  solution  tipsandtricks 
17 days ago by kme

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