A few weeks aga, I published a package on GitHub, which I called RQDAassist. The package was inspired by a script I wrote to help RQDA users, myself included, to install the package after it was archived on CRAN when R 4.0 arrived on the scene. So, when RQDAassist was first published, that was its only real functionality.
Today, I am releasing a minor update (v. 0.2.0) that has a few functions added. It can now convert transcripts written in Word into plain text files – a desired format for RQDA projects – and it can prepare those test files into objects that can be read, in bulk, into an RQDA database. Another thing I personally needed for my work was the ability to seaarch qualitative codes using R scripts rather than the graphics user interface; so I wrote a search function, which currently works for active RQDA projects.
This package has so far been tested on Windows 10 (x64) but it should work fine on other major platforms (any subequent update will include the relevant tests for Linux and Mac OS).
There are no plans to take this package to CRAN and indeed there should be no need to do so once RQDA installation from that repository is fully restored. But I find the prospect of additional helper functions to be quite useful in my work and hope others do too. I hope to see these functionalities expand over time.
You are welcome to check out this project at the GitHub repository or try it out using the instructions in the README.
I gotta admit it. I’m hooked.
I recently stumbled upon this statistical programming software called R and I can’t seem to get enough of it after months of learning about it and using it.
I think it was quite a fortuitous encounter. In the course of my work, I often called upon to do a little data management, including data analysis. I’ve done a little bit of consulting in the past in this area, and have done data analysis ranging from the old-fashioned way (punching a calculator and using statistical tables) to using software such as Epi Info and SPSS (I’ve learned a bit of STATA, but never really got to using it).
The other day, my PC, on which I had SPSS installed, was beginning to act up and all I could think of was how I was going to have to shell out some good money to get it onto a new machine, as I didn’t have the setup files.
So, it was a pleasant surprise, when I registered for a refresher MOOC on data analysis being offered by University of Texas, to discover that there was an open source application they were going to use for the course. As they put me through installation steps for R and R Studio, I was like “whaaaat?”, when I saw the IDE interface of R Studio. I am yet to recover from the experience.
The sexy R Studio Interface
I’m not going to talk about the technical aspects of R that I’ve learnt and I will resist every temptation to display any code here, but I want to recommend to my colleagues and friends, if you haven’t started using R, do so now. Take a course or something like that and get a hold of this wonderful tool. To think that I’m just discovering this now.
‘Nuff said. More on this later…
I promised myself that I would be a little more regular with my posts on this blog. Especially since I decided to expand the scope. However, I’ve been taking this course on edX.org (Foundations in Data Analysis from University of Texas, Austin, TX) and it’s been taking my time. I thought I should just refresh my knowledge a bit in what is a basic field for anyone in public health. And I started a new romance with R and RStudio. It’s been an exhilarating experience and I’m excited everyday. I will tell you guys the story of this love affair later.
Anyhow, I have not been that conscientious with managing the time. I actually have a 5 – 6 week backlog of course work that I have to complete before the course ends the second week of February and I’ve literally been burning the midnight oil. Add to that, trying to get into business for the new year and elections that are going to start in a couple of weeks. Life is anything but dull, and totally chaotic right now!
What are you up to?