I recently encountered some functionality in R which most of you might already know. Nevertheless, I want to share it here, because it might come in handy for those of you who do not know this yet.Suppose you want to read in a large number of very large text tables in R. There is the great function fread() in...
R-bloggers: an example of how interest networks propel viral events
A guest post by Jeff Hemsley, who has co-authored with Karine Nahon a new book titled Going Viral. ————————- In Going Viral (Polity Press, 2013) we explore the topic of virality,...
Using R to replicate common SPSS multiple regression output
(This article was first published on Jeromy Anglim's Blog: Psychology and Statistics, and kindly contributed to R-bloggers) The following post replicates some of the standard output you might get...
Complete list of Coursera courses using R ranked by “popularity”
Coursera – an online education startup – has rapidly expanded its curriculum of statistics and data analysis courses. Today, there are already 33 modules directly linked to the field,...
14 Analytics Predictions for 2014
In a live webinar today hosted by Alteryx, five industry experts shared 14 analytics predictions for 2014. The panel included Paul Ross (Alteryx), Charles Zedlewski (Cloudera), Rick Schultz (Alteryx),...
Sample size and power for rare events
We have written a bit on sample size for common events. We would like to extend this analysis to rare events. In web marketing and a lot of other...
Maximizing Return from Every Item in the Marketing Research Questionnaire
Consumers will not complete long questionnaires, so marketing research must get the most it can from every item. In this post, we look into the toolbox of R packages...
Shiny Server 0.4
Today, we’re excited to announce the release of Shiny Server version 0.4 as well as the availability of a beta version of Shiny Server Professional Edition. Shiny Server is a...
New Version of RStudio (v0.98)
We’re pleased to announce that the final version of RStudio v0.98 is available for download now. Highlights of the new release include: An interactive debugger for R that is tightly integrated...
Setting Axis Limits on ggplot Charts
I’ve been doodling some chart in R/ggplot using geom_text() to generate a labelled scatterplot. The chart actually builds up several layers using different datasets, so it’s not obvious how...
digest 0.6.4
digest version 0.6.4 is now on CRAN and in Debian. This is a pure maintenance release which should help with a build issue affecting users on Solaris. CRANberries provides the usual summary of changes...
Preview of book Data Mining Applications with R
An edited book titled Data Mining Applications with R will be on market soon, which features 15 real-word applications on data mining with R. A preview of the book...
R in Insurance Conference, London, 14 July 2014
Following the very positive feedback that Andreas and I have received from delegates of the first R in Insurance conference in July of this year, we...
24 Days of R: Day 2
Need a Hanukkah or Christmas gift for an R analyst? You could do loads worse than Applied Spatial Data Analysis with R by Bivand, Pebesma and Gomez-Rubio. I don't...
Tutorial: Basic data processing with R
R can do a lot of really amazing things, but to use just about any of R's many features you need to first import your data and get it...
Visualizing systems of linear equations and linear transformations
This is a lecture post for my students in the CUNY MS Data Analytics program. In this series of lectures …Continue reading »
Twitter Battle
I love to have fun with R and Twitter...there are a lot of cool things that you can do with it...so I just thought of having a small Twitter...
Newest release of BCEA
Very shortly, I'll upload the newest release of BCEA, my R package to post-process the output of a (Bayesian) health economic model and produce systematic summaries (such as graphs...
Basic overview of the rmongodb package for R
I have been playing around with MongoDB quite a bit over the last few months. Because I am much better at coding in R, I decided to write up...
Shaping up Laplace Approximation using Importance Sampling
In the last post I showed how to use Laplace approximation to quickly (but dirtily) approximate the posterior distribution of a Bayesian model coded in R. This is...
Speeding up model bootstrapping in GNU R
After my last post I have recurringly received two questions: (a) is it worthwhile to analyze GNU R speed in simulations and (b) how would simulation speed compare between...
Upcoming courses: Dec 2013
We’re pleased to announce two upcoming in-person training opportunities: Advanced R programming. SF, Dec 16-17. Learn the most important topics from advanced R programming in person. One day one,...
Probabilities and P-Values
P-values seem to be the bane of a statistician’s existence. I’ve seen situations where entire narratives are written without p-values and only provide the effects. It can also be...
Converting C code to C++ code: An example from plyr
The plyr package uses a couple of small C functions to optimise a number of particularly bad bottlenecks. Recently, two functions were converted to C++. This was mostly...
Evaluating Quandl Data Quality – part II
This post is a more in depth analysis of Quandl futures data vs. Bloomberg data. Since my last post Quandl has updated its futures database to 200+ contracts from...
Recent Rcpp talks at U Chicago / Booth and U Kansas
In early October, I had an opportunity to talk about Rcpp and RcppArmadillo at the Statistical Computing Seminar at the Booth School of Business at the University of Chicago. And then two weeks ago,...
24 Days of R: Day 1
Last year, the good people at is.R() spent December publishing an R advent calendar. This meant that for 24 days, every day, there was an interesting post featuring analysis...
R: Explore ARIMA(2, 2, 2) subclass family on Shiny
I've been thinking that it might be better to explore the Box-Jenkins ARIMA (Autoregressive Integrated Moving-Average) three-iterative modelling on Shiny. So here is what I got, this app is...
Read line by line of a file in R
Are you using R for data manipulation for later use with other programs, i.e., a workflow something like this:read data sets from a disk,modify the data, andwrite it back...
