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Zach Mayer's work reproducing John Hussman's Recession Warning Composite prompted me to dig this trick out of my (Evernote) notebook. First, let's grab some data to plot using the very handy get...
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Some R tricks that you might not find in typical introductory materials
Handy primer of R tricks.
Solid answer to a vexing question... how to re-arrange items in a plot in R. Read on for answer with #rstats source code.
This is an amazing stackoverflow answer to help you decide which of the many *apply functions (apply, lapply, sapply, vapply, mapply, rapply, tapply) is appropriate for the task at hand.
What do R and Haskell have in common? They are both among the top tier of popularity in this ranking of programming languages.
Example of how to remap a color range to have effective Z values added to an X-Y plot.
Improved net stacked distribution graphs via ggplot2 trickery
An introduction to Bayesian analysis and why you might care.
Tyler Rinker shows exactly how to add text annotations to a ggplot2 faceted plot in #RStats
These are some of the most interesting regression plots I've ever seen.
If you use logistic regression you need to read John Mount's post: How robust is logistic regression?
Here's an nice example of analyzing tweets with R from @neilfws
Sometimes it is really useful to add user input into R. Here's a good example of how.
Got large data sets? Here's an introduction to the #Rstats package ff.
Concise visualization (with #rstats code) of US House votes by party.
"Executive summary Pretty much all I'd hoped for -- and I had high hopes."
For most of us, this isn't the kind of thing that comes up all that often, but when it does... it's nice to know what the options are! So, here's how draw curved arrows with R.
Love this post by @revodavid showing how to make you ggplot2 output look like some popular websites.
This is something I put together a long time ago and recently updated for use with larger data sets. Preliminaries Much of the material here is covered in the more comprehensive “Social Netwo...
Object oriented programming in R using S4 classes...
A detailed analysis (using R) of a set of computer code developed using agile methods.
Kay Cichini provides code and details on how to create a word cloud from a data set grabbed from Google Scholar searches.
I agree with @aghaynes, RStudio is a must have for an #rstats user.
This is a highly informative discussion of measuring attitudes.
R as a language: some good, bad, and ugly.
On determining the relative importance of regression predictors in #rstats