@lwpembleton
Started using #rstats ~2015 when I had RNA sequencing data to analyse for which my SPSS skills were of little use. The lab used Prism, so I mostly learned by trial, error & stackoverflow. Fiddling with ggplot2 and the puzzle-like aspect of programming motivated me at the rather sour end of my PhD. As a postdoc I started teaching R to the students I supervised, and it’s so cool to see how quickly they master it. R skills helped me get my upcoming job (I think).

#ROrigin

Maybe some #Rladies haven't seen this this post @RLadiesGlobal : https://genomic.social/@lwpembleton/112986052081411325 and would like to share their #ROrigin and how they started with #rstats
Luke Pembleton (@[email protected])

What’s your #rstats #ROrigin story? I started my PhD in 2011 and initially was using Excel macros 😱 to perform optimal genetic combination selection, taking over all the office PCs at night for pseudo parallel processing. Within a few months I attended an internal 1day quantitative breeding course which used R. I was immediately hooked 🤩 everything felt so natural and I rewrote all my analyses the next day in R. 2years later I successfully submitted my first pkg to CRAN, & the rest is history 🥳

genomic.social
I'm really enjoying how much of the #rstats #ROrigin talk is about people just diving into R and experimenting by themselves, maybe with some help from community resources. While there are some common reasons people turn to R - like the lack of license fees, the poor (horrendous) alternatives for stats, or the powerful visualizations - everyone's journey into the language is so unique. It's a real testament to how fantastic R is and the amazing community that has built around it 🥳

@lwpembleton The year was 2020, the lab was closed for the lockdown, I ran out of books. I was curious how R did lazy evaluation, so I unpacked R-3.6.3.tar.gz and started reading. The "applied math with C" elective I had had as an undergrad did NOT prepare me for what I saw. Later a kind soul pointed out #SICP, which made some things click into place.

#Rstats #ROrigin

@lwpembleton It was 2013 and I was looking to transform a multi-report internal process and had seen R as a programmable way to achieve this. A bit of coursera training from Jeff Leek and Roger Peng got me started and I learned the basics of R and a lot {ggplot2} including how to bastardise it with dual-axis charts. I took my 2 hr of manual work per report task to a 10 minutes of R computation time per report.#ROrigin #RStats

#RStats #ROrigin storytime: during PhD doing #bioinformatics analysis in #Matlab, kept reading papers that used @Bioconductor packages.

I wrote so much stuff in Matlab, when I started my PostDoc in 2010 I was determined to learn R and make use of actual open source software and packages.

Rewrote some of my core PhD code in R to learn the core syntax, and attended a couple of workshops.

Having access to OSS made my work so much easier.

https://genomic.social/@lwpembleton/112986052081411325

Luke Pembleton (@[email protected])

What’s your #rstats #ROrigin story? I started my PhD in 2011 and initially was using Excel macros 😱 to perform optimal genetic combination selection, taking over all the office PCs at night for pseudo parallel processing. Within a few months I attended an internal 1day quantitative breeding course which used R. I was immediately hooked 🤩 everything felt so natural and I rewrote all my analyses the next day in R. 2years later I successfully submitted my first pkg to CRAN, & the rest is history 🥳

genomic.social
What’s your #rstats #ROrigin story? I started my PhD in 2011 and initially was using Excel macros 😱 to perform optimal genetic combination selection, taking over all the office PCs at night for pseudo parallel processing. Within a few months I attended an internal 1day quantitative breeding course which used R. I was immediately hooked 🤩 everything felt so natural and I rewrote all my analyses the next day in R. 2years later I successfully submitted my first pkg to CRAN, & the rest is history 🥳