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, the process of sharing messages that results in a fast, broad …Read more »
(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...
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,...
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),...
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...
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...
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...
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 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...
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...
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...
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...
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...
This is a lecture post for my students in the CUNY MS Data Analytics program. In this series of lectures …Continue reading »
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...
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...
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...
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...
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,...
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...
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...
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...
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,...
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...
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...
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...
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In my previous post I ignored the fact that some data are below the detection level. I would not know how to handle those in a mixed model from...
# For the purposes of simulating computerized adaptive tests# the R package catR is unparallelled. # catR is an excellent tool for students who are curious about# how a computerized...
