Monthly Archives: February 2013

qdap 0.2.0 released

February 2, 2013
By
qdap 0.2.0 released

This is the first CRAN release of qdap (qdap 0.2.0) found here.  qdap (Quantitative Discourse Analysis Package) is an R package designed to assist in quantitative discourse analysis. The package stands as a bridge between qualitative transcripts of dialogue and … Continue reading →

Read more »

RcppExamples 0.1.6

February 1, 2013
By

A pure maintenance release 0.1.6 of RcppExamples was made two weeks ago, and never announced. We merely moved the NEWS.Rd file into the proper location in the inst/ directory, and, while were at it, mentioned the new Rcpp Gallery in the DESCRIPTION fi...

Read more »

digest 0.6.2

February 1, 2013
By

digest version 0.6.2 came out a few days ago as an almost immediate follow-up to release 0.6.1. We used paste0() in a few places, and this is only available with newer versions of R. To not introduce as somewhat unnessecary dependency, we reverted thi...

Read more »

Bootstrap Confidence Intervals

February 1, 2013
By
Bootstrap Confidence Intervals

Here is an example of nonparametric bootstrapping.  It’s a powerful technique that is similar to the Jackknife. With the bootstrap, however, the approach uses re-sampling. It’s clearly not as good as parametric approaches but it gets the job done. This can be used in a variety of situations ranging from variance estimation to model selection. John

Read more »

Visualizing MLB Hall of Fame votes with R

February 1, 2013
By
Visualizing MLB Hall of Fame votes with R

Carlos Scheidegger and Kenny Shirley created this visualization of votes for the Major League Baseball hall of fame: They describe the chart as follows: The main figure above is a plot of BBWAA Hall of Fame voting by year for all 1,070 players who have appeared on the ballot since Hall of Fame voting began in 1936. The circular...

Read more »

General Navigation in R

February 1, 2013
By
General Navigation in R

So you’ve finally managed to install the pesky environment but have no idea what you are looking at when you open the program. This tutorial is for you. (Again, here is a version with screenshot pictures). When you open R, it might look different than the screenshots in the picture version of the tutorial. This

Read more »

Yen and JGBs Short-Term vs Long Term

February 1, 2013
By
Yen and JGBs Short-Term vs Long Term

I have read some articles arguing that the recent move in the Japanese Yen is overdone.  However, considering the short-term without regard to the long-term context is naïve and potentially dangerous.  Although I do not have significant proo...

Read more »

Overdispersion with different exposures

February 1, 2013
By
Overdispersion with different exposures

In actuarial science, and insurance ratemaking, taking into account the exposure can be a nightmare (in datasets, some clients have been here for a few years – we call that exposure – while others have been here for a few months, or weeks). Somehow, simple results because more complicated to compute just because we have to take into account...

Read more »

Bayesian model choice for the Poisson model

February 1, 2013
By
Bayesian model choice for the Poisson model

Following Arthur Charpentier‘s example, I am going to try to post occasionally on material covered during my courses, in the hope that it might be useful to my students, but also to others. In the second practical of the Bayesian Case Studies course, we looked at Bayesian model choice and basic Monte Carlo methods, looking

Read more »

#13 Mapping in R: Representing geospatial data together with ggplot

February 1, 2013
By
#13 Mapping in R: Representing geospatial data together with ggplot

I have been trawling around for a while now trying to find a simple and understandable way of representing geospatial data in R, whilst retaining the ability to manipulate the visualisation in ggplot. After much searching I came across some articles which got me to a working product only after a lot of ball ache.

Read more »

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)