What’s the deal with wind chill?
WIND SPEEDS UP HEAT LOSS Twenty years ago, a German colleague asked me what the deal was with wind chill. I guess they didn’t have it in Germany. The question...continue reading.
Category: ggplot
ggeffects 0.8.0 now on CRAN: marginal effects for regression models #rstats
I’m happy to announce that version 0.8.0 of my ggeffects-package is on CRAN now. The update has fixed some bugs from the previous version and comes along with many new...continue reading.
‘data:’ Scraping & Chart Reproduction : Arrows of Environmental Destruction
Today’s RSS feeds picked up this article by Marianne Sullivan, Chris Sellers, Leif Fredrickson, and Sarah Lamdanon on the woeful state of enforcement actions by the U.S. Environmental Protection Agency...continue reading.
Dreaming of a white Christmas – with ggmap in R
With the holidays approaching, one of the most discussed questions at STATWORX was whether we’ll have a white Christmas or not. And what better way to get our hopes up,...continue reading.
Marginal Effects for (mixed effects) regression models #rstats
ggeffects (CRAN, website) is a package that computes marginal effects at the mean (MEMs) or representative values (MERs) for many different models, including mixed effects or Bayesian models. One of...continue reading.
Open Workshop: Data Visualization in R and ggplot2, January 25th in Munich
The first time we at STATWORX are organizing a workshop for anyone who wants to learn more about data and graphics. Our “Data Visualization in R and ggplot2” workshop is...continue reading.
How we use emojis
Once upon a time, we at STATWORX used Slack just as a messenger, but than everything changed when emojis came… Since then, we use them for all kinds of purposes....continue reading.
GeoJSON Version of CBC Quebec Ridings Hex Cartograms with Example Usage in R
The CBC covered the recent (as of the original post-time on this blog entry) Quebec elections and used a well-crafted hex grid map to display results: They have a great...continue reading.
Open Workshop: Data Visualization in R and ggplot2, November 8th in Frankfurt
The first time we at STATWORX are opening our doors for anyone who wants to learn more about data. Our “Data Visualization in R and ggplot2” workshop is designed for...continue reading.
PCA plot with fill, color, and shape all together
When I plotted the PCA results (e.g. scatter plot for PC1 and PC2) and was about to annotate the dataset with different covariates (e.g. gender, diagnosis, and ethic group), I...continue reading.
Custom themes in ggplot2
In the last post of this series of the STATWORX Blog, we explored ggplot2’s themes, which control the display of all non-data components of a plot. Ggplot comes with several...continue reading.
Leave-one-out subset for your ggplot smoother
I have a dashboard at work that plots the number of contracts my office handles over time, and I wanted to add a trendline to show growth. However, trendline on...continue reading.
Using themes in ggplot2
As noted elsewhere, sometimes beauty matters. A plot that’s pleasing to the eye will be considered more gladly, and thus might be understood more thoroughly. Also, since we at STATWORX...continue reading.
