Something a little different today for a quick chat about my latest project and why I’m finding the plotly package so helpful! Are you like me and physically can’t function unless you’ve got a to do list in front of you? Well even if you’re not, imagine my pain while I’m wearing my non –…
We’ve just released a sweet package to save you stress from the hassle of unnamed chunks in R Markdown! namer will name all your chunks, so you can quickly debug in future. More details in this post! Why name your R Markdown chunks? When writing R Markdown documents, be it a single report or a…
Testing your R package is crucial, and thankfully it only gets easier with time, thanks to experience… and awesome packages helping you setup and improve tests! In this post, we shall offer a roundup of packages for testing R packages, first in a section about general testing setup, and then in a section about testing…
The R community and the package ecosystem are awesome but it can be difficult to sustain your R packages when you only have so much free time. To make a stellar package you’ve got to keep on top of the issues, make great documentation, have that all important hex sticker, and generally have good quality…
We at Locke Data maintain a few R packages that we’ve submitted to CRAN to help increase their userbase. After running devtools::release(), clicking in a confirmation email… what remains is waiting. Inspired by our experience, we’ve created a dashboard to help other package maintainers follow their package’s journey to CRANterbury. Read more about its making…
Sometimes packages have functions that don’t do the things the way you want them to do them and you have to either re-build the function, or work with it as-is and add code around it to solve your issue. I’ve had to do this recently with the googleway package and it’s google_distance() function so I…
As a heavy R and Tidyverse user, I’ve been playing with Microsofts m/Power Query language included in Excel and PowerBI from that perspective, looking for the functions to make my life easier, developing small code pipelines for my processing and trying to get a smooth, clear and maintainable data manipulation process in place. The Problem…
People use R for lots of reasons: “It’s great for the models I need”, “I like the functional approach”, “It’s the tool I’m most comfortable with”. People don’t use R for these reasons: “I have a favourite processor core, I don’t want to use the others”, “I love how my memory needs to fit all…
How awesome is open source software? Quite awesome in our opinion! Locke Data maintains several open source repos on GitHub, in particular of R packages, and we’d like you to join in the fun! This month, we’re taking part in Hacktoberfest and will do our best to mentor you through your first open source contributions…
We’re done with the basics of handling data in R. Now we want to know how to make sense of it. We know what kind of data it is, we know how to look at column names, dimensions and the like. If you’re trying to add value to this data however, that very often isn’t…