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We are R-Ladies

@WeAreRLadies

Nov 1

I love using and teaching R. For a while I was an adjunct faculty member, and I taught MFA students about data viz and R. It was so much fun! I always learn new things when I teach.

Based on my experience learning and teaching R, here are my five tips for learning R. (1/8)

1. Make mistakes. Mistakes help you learn. Even though I’ve been coding and using R for many years, I consistently run into errors and make mistakes when I code, and I always learn new things. (2/8)

2. Experiment and try new things. There is so much to learn and do in R, and it can feel both exciting and a bit overwhelming. But the more you experiment, the more you’ll learn. (3/8)

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We are R-Ladies

@WeAreRLadies

Oct 31

Hi everyone! I'm Jenn, and I'm super excited to be curating #RLadies this week! I've worked in data/data science for about 10 years, and I love R! I mainly use R for data viz and analysis. (1/5)

This week I'll be talking about #DataViz and learning #RStats. I learned R first in grad school and then on the job when I worked as a statistician. (2/5)

Now, I use R in my work as a research analyst and for data viz projects I do for fun, like participating in #TidyTuesday and visualizing the books I read in 2021. (3/5)

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We are R-Ladies

@WeAreRLadies

Oct 19

(1/n) Since Halloween is just around the corner, let's talk about something spooky: presentations with LIVE CODING 🎃👻😱. To prepare for a 2-hour virtual workshop on package development, I came up with a system to help me stay organized.

Here's what helped⬇️

(2/n) First, what is it about live coding that makes it tricky? IMO it’s the amount of context switching. You need to keep the audience engaged while juggling an array of different apps (e.g. web browser, IDE, terminal). More apps = more unexpected things possibly happening.

(3/n) I decided to base my workshop on Chapter 2 of the R Packages book. The book did *a lot* of the heavy lifting for me; I used the section headings to outline my lesson plan. I also made sure to set aside some time for a break in the middle and a discussion at the end.

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We are R-Ladies

@WeAreRLadies

Oct 19

(1/n) A fun and practical idea for an R package: a #ggplot2 extension to modify plots so they adhere to an organization’s visual identity 📊📈📉⬇️

@UBC

(2/n) A visual identity allows an entity to be instantly recognized. Made up of their logo, typography, and colors, it can be applied when creating external or internal communications. For example, here’s the visual building blocks of my alma mater @UBC: bit.ly/3EN0oNs

@UBC

@UBC (3/n) My first crack at package development was during my master's studies with @UBCMDS. My classmates and I created a #ggplot2 extension to allow users to change the appearance of plots based on the visual identities of different Canadian universities: bit.ly/3VHssIe

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We are R-Ladies

@WeAreRLadies

Oct 18

(1/n) Think that your team's workflow could benefit from a custom R package but don't know where to start?

Here's a list of steps that helped me when I was embarking on my package development journey at my previous workplace ⬇️

(2/n) First, identify your team's needs. Are there any pain points that could be alleviate with code?

I chose to send out a questionnaire to formulate a team-wide wish list of functions they'd like to see in the communal toolbox 🧰

For each function, I asked for the following:

(3/n)
1️⃣ Description and purpose
2️⃣ Does a prototype exist? If it is available on a shared drive (or something similar), where can I find it 🔦 (e.g. path, line number)?
3️⃣ Expected input(s) and data type(s)
4️⃣ Expected output(s) and data type(s)
5️⃣ Expected frequency of use

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We are R-Ladies

@WeAreRLadies

Oct 18

@RLadiesVan

(1/n) Last year, I led workshops on package development with the help of @RLadiesVan and @RLadiesSeattle. I often find it helpful learning why a tool is useful before diving into how to use it, so I began each workshop by motivating why you might want to try creating a package:

@RLadiesVan

@RLadiesVan @RLadiesSeattle (2/n) I’ll write a few lines of code to accomplish a specific task. Later, I'll often find that the code chunk is rather applicable to other situations. I might copy and paste the relevant lines of code and repurpose it by changing a few characters here and there.

@RLadiesVan

@RLadiesVan @RLadiesSeattle (3/n) If I find myself having to do this multiple times (>2), it's a sign for me to wrap the code into a function. If I ever need to change its behavior, I'll just have to edit the function definition. This sure beats trying to find and amend all instances of the copied code!

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