Below is a link to a pdf (compiled with the amazing knitr package) and some accompanying data for a recent short course I gave on basic spatial data import/analysis/visualization in R. The class was only two hours and some of the participants were bein...
Blog Archives
Notes from A Recent Spatial R Class I Gave
Below is a link to a pdf (compiled with the amazing knitr package) and some accompanying data for a recent short course I gave on basic spatial data import/analysis/visualization in R. The class was only two hours and some of the participants were bein...
The Epic Search for the Perfect R Text Editor
I can never seem to get exactly what I want from an R text editor. Let me correct that, I can never seem to get exactly what I want from an R text editor on a MAC. I used to use Tinn-R which met most my needs: Free,lightweight with ...
The Epic Search for the Perfect R Text Editor
I can never seem to get exactly what I want from an R text editor. Let me correct that, I can never seem to get exactly what I want from an R text editor on a MAC. I used to use Tinn-R which met most my needs: Free,lightweight with ...
R in the CPB and the role of Open Source in Promoting Transparency and Austerity
The Revolution blog links to an O'Reilly interview with two CIO's from the Consumer Protection Bureau. The gist of the interview is "Open Source is Great, we are using it for everything; R and Big Data are the next hot thing, et cetera". I ...
R in the CPB and the role of Open Source in Promoting Transparency and Austerity
The Revolution blog links to an O'Reilly interview with two CIO's from the Consumer Protection Bureau. The gist of the interview is "Open Source is Great, we are using it for everything; R and Big Data are the next hot thing, et cetera". I ...
R Structure Explained
This post by Suraj Gupta explains it all. This is the firs time I have seen a concise and accessible explanation of the R environment structure and why it matters. Addendum: This one by Digithead is also pretty good
R Structure Explained
This post by Suraj Gupta explains it all. This is the first time I have seen a concise and accessible explanation of the R environment structure and why it matters. Addendum: This one by Digithead is also pretty good
Plotting forecast() objects in ggplot part 2: Visualize Observations, Fits, and Forecasts
In my last post I presented a function for extracting data from a forecast() object and formatting the data so that it can be plotted in ggplot. The scenario is that you are fitting a model to a time series object with training data, then forecas...
Plotting forecast() objects in ggplot part 2: Visualize Observations, Fits, and Forecasts
In my last post I presented a function for extracting data from a forecast() object and formatting the data so that it can be plotted in ggplot. The scenario is that you are fitting a model to a time series object with training data, then forecas...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
