Monthly Archives: November 2011

Contributions to the R source

November 29, 2011
By

One of the nice things about tracking the R subversion repository using git instead of subversion is you can do git shortlog -s -n which gives you 19855 ripley 6302 maechler 5299 hornik 2263 pd 1153 murdoch 813 iacus 716 luke 6...

Read more »

Example 9.16: Small multiples

November 29, 2011
By
Example 9.16: Small multiples

Small multiples are one of the great ideas of graphics visionary Edward Tufte (e.g., in Envisioning Information). Briefly, the idea is that if many variations on a theme are presented, differences quickly become apparent. Today we offer general guida...

Read more »

Accessing and Visualising Sentencing Data for Local Courts

November 29, 2011
By
Accessing and Visualising Sentencing Data for Local Courts

A recent provisional data release from the Ministry of Justice contains sentencing data from English(?) courts, at the offence level, for the period July 2010-June 2011: “Published for the first time every sentence handed down at each court in the country between July 2010 and June 2011, along with the age and ethnicity of each

Read more »

outersect(): The opposite of R’s intersect() function

November 29, 2011
By
outersect(): The opposite of R’s intersect() function

The Objective To find the non-duplicated elements between two or more vectors (i.e. the ‘yellow sections of the diagram above) The Problem I needed the opposite of R’s intersect() function, an “outersect()“. The closest I found was setdiff() but the order of the input vectors produces different results, e.g. setdiff() produces all elements of the first

Read more »

A/B Testing in R – Part 1

November 29, 2011
By

A/B testing is a method for comparing the effectiveness of several different variations of a web page. For example, an online clothing retailer that specializes in mens’ streetwear may want to examine whether a black or pink background results in more purchases from visitors to the site. Lets say that our online store is just

Read more »

Trading Strategy Sensitivity Analysis

November 28, 2011
By
Trading Strategy Sensitivity Analysis

When designing a trading strategy, I want to make sure that small changes in the strategy parameters will not transform the profitable strategy into the loosing one. I will study the strategy robustness and profitability under different parameter scenarios using a sample strategy presented by David Varadi in the Improving Trend-Following Strategies With Counter-Trend Entries

Read more »

Dealing with R and HANA

November 28, 2011
By
Dealing with R and HANA

First things first...what's "R"? Simply put...is a programming language and software environment for statistical computing and graphics. More infomation can be found here R on WikipediaI have code in many programming languages, some of them very commer...

Read more »

How to speed up loops in R

November 28, 2011
By
How to speed up loops in R

As with any language, there are often several ways to code up the solution to a programming problem in R. If performance of the code is important (i.e. it's something you plan to run many times, or with a lot of data), how you code the solution can often have a big impact on how fast it runs. For...

Read more »

R’s Distrotheque

November 28, 2011
By
R’s Distrotheque

(Update: The csound package is now available on CRAN.) Do your random variables need to groove more? Of course they do. That's why I've been working on the upcoming csound package for R, which connects to Csound computer synthesis software to make any sound imaginable. Your computer'll be the hippest sample space on the randomized

Read more »

Retrieve GBIF Species Occurrence Data with Function from dismo Package

November 28, 2011
By
Retrieve GBIF Species Occurrence Data with Function from dismo Package

..The dismo package is awesome: with some short lines of code you can read & map species distribution data from GBIF (the global biodiversity information facility) easily:Read more »

Read more »

Sponsors

Mango solutions



RStudio homepage



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)