Monthly Archives: January 2013

Remembering server installation details

January 8, 2013
By
Remembering server installation details

I’ve been moving part of my work to university servers, where I’m just one more peasant user with little privileges. In exchange, I can access the jobs from anywhere and I can access multiple processors if needed. Given that I have a sieve-like memory, where configuration details quickly disappear through many small holes, I’m documenting

Read more »

Speeding up R computations Pt III: parallelization

January 8, 2013
By

In two previous posts, I have written about how you can speed up your R computations either by using strange notation and non-standard functions or by compiling your code. Last year my department bought a 64-core computational server, which allowed me ...

Read more »

Open Science Challenge

January 8, 2013
By
Open Science Challenge

Open Science Science is becoming more open in many areas: publishing, data sharing, lab notebooks, and software. There are many benefits to open science. For example, sharing research data alongside your publications leads to increased citation ra...

Read more »

Handling Strings with Rcpp

January 8, 2013
By

This is a quick example of how you might use Rcpp to send and receive R ‘strings’ to and from R. We’ll demonstrate this with a few operations. Sort a String with R Note that we can do this in R in a fairly fast way: my_strings <-...

Read more »

Using Rcout for output synchronised with R

January 8, 2013
By

The Writing R Extensions manual, which provides the gold standard of documentation as far as extending R goes, suggests to use Rprintf and REprintf for output (from C/C++ code) as these are matched to the usual output and error streams maintained by R ...

Read more »

Open Science Challenge

January 8, 2013
By
Open Science Challenge

Open Science Science is becoming more open in many areas: publishing, data sharing, lab notebooks, and software. There are many benefits to open science. For example, sharing research data alongside your publications leads to increased citation ra...

Read more »

Reserving based on log-incremental payments in R, part I

January 8, 2013
By

A recent post on the PirateGrunt blog on claims reserving inspired me to look into the paper Regression models based on log-incremental payments by Stavros Christofides , published as part of the Claims Reserving Manual (Version 2) of the Institute of Actuaries.The paper is available together with a spread sheet model, illustrating the calculations. It...

Read more »

Improving Twitter Search with Real-Time Human Computation

January 7, 2013
By

(This is a post from the Twitter Engineering Blog that I wrote with Alpa Jain.) One of the magical things about Twitter is that it opens a window to the world in real-time. An event happens, and just seconds later, it’s shared for people across the planet to see. Consider, for example, what happened when...

Read more »

The myth of the missing Data Scientist

January 7, 2013
By
The myth of the missing Data Scientist

Much has been said about the dire shortage of Data Scientists looming on the horizon. With the spectre of Big …Continue reading »

Read more »

Does anything NOT beat the GARCH(1,1)?

January 7, 2013
By
Does anything NOT beat the GARCH(1,1)?

In their paper on GARCH model comparison, Hansen and Lunde (2005) present evidence that among 330 different models, and using daily data on the DM/$ rate and IBM stock returns, no model does significantly better at predicting volatility (based on a realized measure) than the GARCH(1,1) model, for an out of sample period of about

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de







ODSC

ODSC

CRC R books series











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)