In this post I have a few goals: 1. Become (re-)familiar with available geoms 2. Become (re-)familiar with aesthetic mappings in geoms (stroke who knew?) 3. Answer these questions: How often do various geoms appear and how often do they … Continue reading →
I was attending a course of Bayesian Statistics where this problem showed up: There is a number of individuals, say 12, who take a pass/fail test 15 times. For each individual we have recorded the number of passes, which can go from 0 to 15. Because of confidentiality issues, we are presented with rounded-to-the-closest-multiple-of-3 data […]
Several years back I wrote a two part blog series in response to seeing questions about plotting and reordering on list serves, talkstats.com, and stackoverflow. Part I discussed the basics of reordering plots by reordering factor levels. The essential gist was: … Continue reading →
We saw this scatterplot with marginal densities the other day, in a blog post by Thomas Wiecki: The graph was produced in Python, using the seaborn package. Seaborn calls it a “jointplot;” it’s called a “scatterhist” in Ma...
The Swarm Lab presents a nice comparison of R and Python code for a simple (read ‘one could do it in Excel’) problem. The example works, but I was surprised by how wordy the R code was and decided to check if one could easily produce a shorter version. The beginning is pretty much the […]
Today, we celebrate the would-be 85th birthday of Martin Luther King, Jr., a man remembered for pioneering the civil rights movement through his courage, moral leadership, and oratory prowess. This post focuses on his most famous speech, I Have a Drea...
Visualization is a useful tool for data exploration and statistical analysis, and it’s an important method for communicating your discoveries to others. While those two uses of visualization are related, they aren’t identical. One of the reasons that I like ggplot so much is that it excels at layering together multiple views and summaries of […] Related posts: Revisiting Cleveland’s The Elements of Graphing Data in ggplot2 My Favorite Graphs…
I have a standard code for ggplot2 which I use to make line graphs, scatter plots, and histograms. For lines or scatters: p<- ggplot(x, aes(x=Year, y=Rank, colour=Uni, group=Uni)) #colour lines by variable Uni #group Uni labelled variables in the same line Then: p + #you get an error if not for this step geom_line(size=1.2) + […]
Statistical software is normally used during the analysis stage of a project and a cleaned up static graphic is created for the presentation. If the presentation is in web format then there are some considerations that are needed. The trick is to find ways to implement those graphs in that web format so the graph […]
Last night we had a great meet up of the Montreal R User Group. I got things started with a little presentation asking the question “What does R do?” (slides). I made the presentation using Montreal R User Group member Ramnath Vaidyanathan‘s Slidify package. Slidify allows you to generate rather handsome HTML5 slides directly using [...]
