R Packages: Solving a problem using devtools in Windows

In the introduction to his book R packages, Hadley Wickham provides a neat function for making sure that everything is set for writing your own R extensionsby simply running the devtools::has_devel(), which, if all goes well, should evaluate to TRUE.

This did not work out for me and I had to fix this problem on 2 different occasions so I felt I need to share this info in case there are others also stumped by this hurdle.

The fix I found – after a full sweaty day – was in this conversation on GitHub and I would like to break it down very quickly:

  1. Make sure you have installed Rtools from CRAN
  2. Make sure that Rtools/bin as well as Rtools/MinGW/x64/ are added to your system PATH (if you don’t know how, click here)
  3. In addition, it is recommended that you install LATEX (the link is also found on the Rtools page mentioned on No. 1)
  4. Run the following lines of code



install_github("hadley/devtools")    # to get the latest 'pre-CRAN' package updates


has_devel()    # output should be TRUE

Like I said, I had this problem on 2 different machines (Windows 7 and 10) and the same fix worked on both of them.


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Problem with stand-alone executables?

Well, I just have to share this with whosoever is desperately looking for a solution to this problem and happens to stumble across this post.

It’s not easy being a newbie in any thing, and computing is no exception.

I have written a small program that I will be using for my work in the office and which would also benefit a few staffers. I wrote it in C++ and compiled it using Visual Studio. However, I couldn’t find the executable file (*.exe) anywhere on my computer!

I went over to the MSDN site, as well as StackOverflow, looking for a solution but there was none in sight. To make matters worse, I discovered that MANY beginner programmers were facing the same issue.

Then I found this video on YouTube – and voilá! – problem solved. The answer to my question is ridiculously straightforward; indeed, ignorance is very costly.

If you’re in a bind like I was, I hope this works for you the way it did for me!

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My experience doing R trainings at work

Recently, the office decided to set up a small team to manage its social media presence. Because I had somewhat encouraged the development, I was asked to work with them, at least as a facilitator.

Somewhere down the line, I suggested to some on the team that they should consider carrying out analysis of the social media data, at least beyond the metrics that were already available on most of those sites.

I quickly put together a very rudimentary, but useful, Shiny app, (not without some inspiration from this guy) just to demonstrate a bit of what was possible, and they were eager for me to train them in the use of R. I will share more about the app sometime later.

Application that plots social media data

Screenshot of the Shiny app developed for the team

My aim was (and still is) to get them to a point where they could carry out basic analyses on their own and grow from there. I tried to keep the material as basic and non-intimidating as possible – some of the students admitted to a morbid fear of statistics and I didn’t want to scare them off with anything too tough.

I consider myself a beginner still, so this experience really broadened my own understanding of the language. And I had a lot of fun doing it.

Well, I put together some slides on the training sessions and felt I should share them and hopefully get some feedback. Here they are:

  1. Introduction to R Programming
  2. R Data Structures – starting them off on vectors
  3. R Data Structures (Pt. II) – diving into the basics of data frames
  4. R Data Structures (Pt. III) – examining ways of working with matrices
  5. R Data Structures (Pt. IV) – lists (and lists)

The good thing is that some friends and colleagues (outside the office) have told me that, in the coming year, they would like me to train them as well in the use of R.

It’s only an opportunity for me to, yet, learn the more.

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2016’s Final Abomination: The Desolation of Jollof Rice — Mind of Malaka

I’m getting pretty tired of writing about how awful 2016 has been and continues to be. My fatigue has compelled me to ignore several events that have transpired in pop culture and favor silence instead of comment. It’s not everything that requires a verbal (or written) reaction, abi? But dear brothers and sisters, there is […]

via 2016’s Final Abomination: The Desolation of Jollof Rice — Mind of Malaka


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Advantages and Disadvantages of Using IDE [sic]

This is a good blog. I use IDEs, but my take on them is this: It makes a lot of sense for learners to start with manual before moving on to automatic, because the day you’re forced to drive manual, you may find yourself unable to do so.

Expert Wannabe

IDEs are simply programs to write programs. They are generally editing environments with tools
to help programmers write code quickly and efficiently. As an example, we can create PHP-driven
web applications using a combination of Eclipse and PHPEclipse. Core features typically include:

Code completion or code insight: The ability of an IDE to know a language’s
keywords and function names is crucial. The IDE may use this knowledge to do such
things as highlight typographic errors, suggest a list of available functions based on the
appropriate situation, or offer a function’s definition from the official documentation.

Resource management: When creating applications, languages often rely on
certain resources, like library or header files, to be at specific locations. IDEs
should be able to manage these resources. An IDE should be aware of any required
resources so that errors can be spotted at the development stage and not…

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