To many people, R is like the Everglades. They’ve heard of it, they know it’s big and has amazing treasures deep inside. Articles in the media can make it look irresistible. But after a personal or even second hand experience … ...
Posts Tagged ‘ Data Visualization ’
Automatic drug utilization reports with R and ggplot2
This program takes a data set of drug utilisation of 4 fictional drugs in 10 fictional hospitals and plots each time-series with a locally weighted regression (Lowess) trend line. It also places an time-series trend of the usage for each … Continue reading →
Learning R has really made me appreciate SAS
For the past 18 months, it seems like all I’ve heard about in the digital marketing industry is “big data”, and with that, mentions of using Hadoop and R to solve these sorts of problems. Why are these tools the … Continue reading →
Learning R has really made me appreciate SAS is an article from randyzwitch.com,...
ggplot2: Creating a custom plot with two different geoms
This past week for work I had to create some plots to show the max, min, and median of a measure across the levels of a qualitative variable, and show the max and min of the same variable within a … Continue reading →
Are scatterplots too complex for lay folks?
Usually, I like to write about the solutions to problems I’ve had, but today I only have a problem to write about. This is the second research job I’ve had outside of academia, and in both cases I’ve met with … Continue reading →
Bar Graph Colours That Work Well
Ever since I started using ggplot2 more often at work in order to do graphs, I’ve realized something about the use of colour in bar graphs vs. dot plots: When I’m looking at a graph displayed on the brilliant Viewsonic … Continue reading →
Functions ddply and melt make plotting summary stats in R more tolerable
The main reason why I have usually chosen to use excel to make my plots at work is because I had difficulty feeding the summary stats in R into a plotting function. One thing I learned this week is how … Continue reading →
Fun Editing R Graphs in Inkscape
Last week, I read a chapter out of Visualize This by Nathan Yau. I was, of course, delighted to see that he was championing the use of R. One really cool thing that I learned from his book, and was very … Continue reading →
SNA: Visualising an email box with R
Are statistics sexy? Visualising social networks certainly is! I wrote a little function, which makes producing beautiful plots depicting a mailbox with R an extremely easy task. I find visualisations of ‘social graphs’ particularly appealing. They look like flowers. I … Continue reading →
Tumblr Likes
Look at just the first digit and the number of digits. science: 32914, 11566, 4989, 3743, 968, 814, 673, 482, 286, 2811 black and white: 1694, 1167, 1108, 988, 919, 639, 596, 591, 580, 544 lol: 22627, 18100, 17688, 14374, 13459, 12045, 4711, 3779, 36...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
