Bootstrapping standard errors can be a useful technique when obtaining closed form for the standard error formula is difficult or intractable. In this post, I give an example of how to use R to create a bootstrap sampling distribution in the context o...
In this post, I demonstrate a couple of useful tricks to writing functions in R. The context is a function I wrote called called samp() that allows for an easy demonstration of sampling distribution properties.DefaultsBy default, this function draws K...
In this post, I demonstrate a couple of useful tricks to writing functions in R. The context is a function I wrote called called samp() that allows for an easy demonstration of sampling distribution properties.DefaultsBy default, this function draws K...
I was browsing through the draft abstract booklet for this year's worldwide R user conference useR! 2011, and noticed this abstract: KinectR – Kinect interface to R Landon Jensen Microsoft launched the Kinect for Xbox 360 in late 2010 and it quickly broke records as the fastest selling consumer electronics device in history (8 million units sold in the...
Recently I found a post at FlowingData with a detailed tutorial to map connections with great circles with R. The tutorial of FlowingData is excellent, but I feel more comfortable with the sp classes and methods, and with the lattice and latticeExtra packages. Besides, I want to use the free spatial data available from the 
10. Can't crack that hard Sudoku problem?? Use R!9. Want to pick a skill that will give you an early adopter advantage?? Learn R! It is the leading open source statistical and data analysis programming language, and is heating up! 8. Need to ...
10. Can't crack that hard Sudoku problem?? Use R!9. Want to pick a skill that will give you an early adopter advantage?? Learn R! It is the leading open source statistical and data analysis programming language, and is heating up! 8. Need to ...
The TimeSeriesIreland Blog posted an excellent start on a function that automatically computes marginal effects for probit and logit models. As I have always wanted an easy-to-use function that computes and reports marginal effects in R, I was elated ...
The TimeSeriesIreland Blog posted an excellent start on a function that automatically computes marginal effects for probit and logit models. As I have always wanted an easy-to-use function that computes and reports marginal effects in R, I was elated ...
Although this blog’s primary focus is time series, one feature I missed from Stata was the simple marginal effects command, ‘mfx compute’, for cross-sectional work, and I could not find an adequate replacement in R. To bridge this gap, I’ve written a (rather messy) R function to produce marginal effects readout for logit and probit 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
