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Using Omnigraffle for publication ready figures

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 14

Certainly! I wouldn't recommend going to GUI if the data will change.

Matt Kmiecik @mattkmiecik.bsky.social · Jun 14

Yes! Don't get me wrong, everything is possible in ggplot2 and it's extensions. But I've found it nice to polish off figures in a GUI when at the final stages or experimenting with different aesthetics/placement, etc.

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 14

ggplot2 is powerful, but not always pretty. 😬

That’s why I use Omnigraffle for final figure touches—cleaner legends, custom labels, and full control over design.

Full workflow here: mattkmiecik.substack.com/p/using-omni...

#rstats #dataviz #omnigraffle #ggplot2

In graduate school, I took an advanced statistics course that changed my life.

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 12

Just dropped a new #rstats Substack post!

It’s about a better way to scale variables in R that won’t break predict() (and keeps your model inputs traceable).

mattkmiecik.substack.com/p/scaling-va...

#Tidyverse #DataAnalysis

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 11

Great, thanks!

Matt Kmiecik @mattkmiecik.bsky.social · Jun 11

Is there a formal way to give yourself permission or is this implied by CC-BY?

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 10

Z-scoring in R? There’s a neat way to retain the original mean and SD after using scale(). This makes back-transforming for plots super easy.

Full example: mattkmiecik.substack.com/p/scaling-va...

#rstats #Reproducibility #CodingTips

I started this Substack just so that I could use Ulysses

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 8

Scientific writing has trapped me in Word & Google Docs. For personal writing, I needed something better. Ulysses is that something. Clean, simple, and dare I say... fun?

Here’s why I love it:
✍️ mattkmiecik.substack.com/p/i-started-...

#WritingCommunity #TechTools #MacApps #ProductivityHacks

Alright, that might be an exaggeration.

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Reposted by Matt Kmiecik

Vincent Arel-Bundock @vincentab.bsky.social · Jun 6

🚨 Big milestone for Rdatasets 🚨

The web archive now hosts 3400+ free and documented CSV datasets. Fantastic for teaching and testing!

And {Rdatasets} is a new #RStats 📦 for easy download and search

Web archive: vincentarelbundock.github.io/Rdatasets

R 📦: vincentarelbundock.github.io/Rdatasetspkg

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 6

I used to wrap scale() in as.numeric() and call it a day. Now I know better: drop() preserves attributes and behaves cleanly.

Full walkthrough (with mtcars, lm, ggplot2): mattkmiecik.substack.com/p/scaling-va...

#rstats #DataViz #OpenScience

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Reposted by Matt Kmiecik

Mattan S. Ben-Shachar 🎗️🇮🇱🇺🇦 @mattansb.msbstats.info · Jun 4

Personally I prefer using datawizard::standardize(), and specifically using it *in the formula*.

So
mtcars$hp_z <- scale(mtcars$hp)
mpg ~ hp_z

Becomes
mpg ~ standardize(hp)

This solves both issues you raise in your post.

#rstats @easystats.bsky.social

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 4

Nice! Thanks for commenting about datawizard::standardize(). It looks like a great solution 😀

Matt Kmiecik @mattkmiecik.bsky.social · Jun 4

Scaling variables in R? scale() is powerful — but its default behavior can mess with predict().

Here’s a clean fix using drop() + how to retain scaling attributes for later.

mattkmiecik.substack.com/p/scaling-va...

#rstats #DataScience #Statistics

github.com/tidyverse/ra...

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 3

GitHub - tidyverse/ragnar

Contribute to tidyverse/ragnar development by creating an account on GitHub.

github.com

Matt Kmiecik @mattkmiecik.bsky.social · Jun 3

This has to be the best #rstats hex sticker I've ever seen

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Matt Kmiecik @mattkmiecik.bsky.social · Jun 2

Here's one in the other direction! mattkmiecik.substack.com/p/my-start-w...

My start with R

The programming language that made me a better scientist

Labeling facets in ggplot2

Matt Kmiecik @mattkmiecik.bsky.social · May 29

nice

Matt Kmiecik @mattkmiecik.bsky.social · May 27

Too funny! 🤣

Matt Kmiecik @mattkmiecik.bsky.social · May 27

One of my favorite tricks I’ve learned from ChatGPT: better facet labels in ggplot2.

Check out the latest post: mattkmiecik.substack.com/p/labeling-f...

#rstats #ggplot2 #dataviz

Who knew such a small setting could make such a big improvement

Labeling facets in ggplot2

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Reposted by Matt Kmiecik

John Holbein @johnholbein1.bsky.social · May 22

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Matt Kmiecik @mattkmiecik.bsky.social · May 23

Adding labeller = label_both to your facet calls in ggplot2 can massively improve figure readability! I wrote a quick blogpost with a use case and some examples.

mattkmiecik.substack.com/p/labeling-f...

#rstats #ggplot2 #VisualizationTips #dataviz

Who knew such a small setting could make such a big improvement

Labeling facets in ggplot2

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Reposted by Matt Kmiecik

Norm Matloff (你有冇諗清楚呀?) @matloff.bsky.social · May 21

Most applications in R run pretty quickly. But these days, many R users are faced with huge datasets and/or long-running applications, making parallel computation attractive. 🧵 1/

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Matt Kmiecik @mattkmiecik.bsky.social · May 21

Struggling with confusing facet labels in ggplot2? I just shared a quick fix that makes your plots clearer using labeller = label_both.

mattkmiecik.substack.com/p/labeling-f...

#rstats #dataviz #ggplot2 #DataScience

Who knew such a small setting could make such a big improvement

A powerful tool for plotting colors

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Matt Kmiecik @mattkmiecik.bsky.social · May 17

R is full of surprises—even after a decade, I’m still learning simple but powerful tricks. Named vectors are my latest discovery, thanks to ChatGPT!

mattkmiecik.substack.com/p/named-vectors-in-r

#RStats #Learning #ChatGPT #Dataviz

Named vectors in R