In my last post, I discussed boxplots in their simplest forms, illustrating some of the useful options available with the boxplot command in the open-source statistical software package R. As I noted in that post, the basic boxplot is both useful...
227 search results for "boxplot"
Clustering NHL Skaters
I have been sitting on this post for some time now and wanted to get it out there. The goal is to simply show how easy it is to pull live data from the web into R, massage it, and perform some analytics on it. I am not sure how useful this analysis really is 
Boxplots and Beyond – Part I
Boxplots are a simple and reasonably popular way of summarizing the range of variation of a real-valued variable across different subsets of data. Typical examples might include diastolic blood pressure across a group of patients, broken dow...
How to label all the outliers in a boxplot
In this post I offer an alternative function for boxplot, which will enable you to label outlier observations while handling complex uses of boxplot.
sab-R-metrics: Intermediate Scatter Plots
First off, I'll say it's been a whirlwind of a past few days. Thanks to David Smith at the Revolutions Blog for his kind words about the sab-R-metrics series and link back this way. Add in Ed Kupfer's posts at the APBRmetrics board, Harry Pavlidis at THT, Dave Allen at Fangraphs...
sab-R-metrics: Intermediate Scatter Plots
First off, I'll say it's been a whirlwind of a past few days. Thanks to David Smith at the Revolutions Blog for his kind words about the sab-R-metrics series and link back this way. Add in Ed Kupfer's posts at the APBRmetrics board, Harry Pavlidis at THT, Dave Allen at Fangraphs...
The Art of Exploratory Data Analysis
This blog is about the art of exploratory data analysis, which is also the subject of my new book, Exploring Data in Engineering, the Sciences, and Medicine (http://www.oup.com/us/ExploringData). This art is appropriate in situations where y...
Hard drive occupation prediction with R – part 2 – Getting the probability distribution
On the first article, we saw a quick-and-dirty method to predict disk space exhaustion when the usage pattern is rigorously linear. We did that by importing our data into R and making a linear regression. In this article we will see the problems wit...
Hard drive occupation prediction with R – part 2
On the first article, we saw a quick-and-dirty method to predict disk space exhaustion when the usage pattern is rigorously linear. We did that by importing our data into R and making a linear regression. In this article we will see the problems wit...
Learning R through baseball: sab-R-metrics
The words "statistics" and "baseball" are often found near each other, but there's a lot more to statistics than dividing the number of hits by the number of swings to get a batting average. And there's a lot more to sabermetrics -- the statistical analysis of baseball -- than averages, too. Many baseball fans are also stats geeks (and...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
