R-statistics blog

R-bloggers

• Fixing My Internet With R and Python
  Last summer, I had some internet connectivity problems. Specifically, I would have massive latency issues that affected my conversations on Skype and my relatively pathetic under the best of circumstances efforts at online gaming. It was driving me up a wall and I couldn't figure it out. It hadn't occurred earlier with the same ISP so I thought it […]
• KDNuggets 2013 software poll results
  The results of the 2013 KDNuggets software poll are in, with RapidMiner and R in a near-tie for first place. Of a record 1880 respondents, 737 reported using Rapid-I RapidMiner/RapidAnalytics, and 704 reported using R. Excel came in third: with 527 respondents, it was the lone commercial tool in the top 5. You can see the top 10 responses in the table below. […]
• Running R Scripts Directly From Dropbox
  I have written a little function that allows users to run R scripts out of Dropbox directly from any location.  It was aided by this post on biobucket.  The reason I am particularly interested in this feature is because I am often using a ser... […]
• Hillslope Position by Soil Series
  Soil survey data are typically built upon a foundation of soil-landscape relationships that have been verified in the field. read more […]
• The Frisch–Waugh–Lovell Theorem for Both OLS and 2SLS
  The Frisch–Waugh–Lovell (FWL) theorem is of great practical importance for econometrics. FWL establishes that it is possible to re-specify a linear regression model in terms of orthogonal complements. In other words, it permits econometricians to partial out right-hand-side, or control, variables. This is useful in a variety of settings. For example, there m […]
• RcppArmadillo 0.3.900.0
  A Armadillo release 3.900.0 was provided by Conrad yesterday. It has been rolled into a new RcppArmadillo release 0.3.900.0 which is now on CRAN and in Debian.It has a number of nice changes, mostly on the performance side of things (see below) an... […]
• A Big Data introduction
  Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment. This … Continue reading → […]
• Veterinary Epidemiologic Research: Modelling Survival Data – Semi-Parametric Analyses
  Next on modelling survival data from Veterinary Epidemiologic Research: semi-parametric analyses. With non-parametric analyses, we could only evaluate the effect one or a small number of variables. To evaluate multiple explanatory variables, we analyze data with a proportional hazards model, the Cox regression. The functional form of the baseline hazard is n […]
• How old is the oldest person you know?
  Last week, we had a discussion with some colleagues about the fact that – in order to prepare for the SOA exams – we did not have time (so far) to mention results on extreme values in our actuarial program. I did gave an introduction in my nonlife actuarial models class, but it was only an introduction, in three hours, in order to illustrate reinsurance pric […]
• Webinar: Managing Data with R
  Before you can analyze data, it must be in the right form. Join Revolution Analytics and me this June 21st for a 4-hour webinar that shows how to perform the most commonly used data management tasks in R. We will work through … Continue reading → […]