July 2013

Reflections on UseR! 2013

July 12, 2013 | Rob J Hyndman

This week I’ve been at the R Users conference in Albacete, Spain. These conferences are a little unusual in that they are not really about research, unlike most conferences I attend. They provide a place for people to discuss and exchange ideas on how R can be used. Here ... [Read more...]

Throw some, throw some STATS on that map…(Part 1)

July 12, 2013 | banjurr

R is a very powerful and free (and fun) software package that allows you to do, pretty much anything you could ever want. Someone told me that there’s even code that allows you to order pizza (spoiler alert: you actually cannot order pizza using R :( ). But if you’re ... [Read more...]

UseR! 2013: it’s a wrap!

July 12, 2013 | David Smith

Steve Scott (Google) presents at useR! 2013, July 12 2013 The 2013 UseR! conference has drawn to a close in Albacete, Spain. The conference organizers did a fantastic job putting together a jam-packed presentation and social program for the 350+ R users in attendance. Here are just a few of my highlights from the last ... [Read more...]

Calculate RMSE and MAE in R and SAS

July 12, 2013 | heuristicandrew

Here is code to calculate RMSE and MAE in R and SAS. RMSE (root mean squared error), also called RMSD (root mean squared deviation), and MAE (mean absolute error) are both used to evaluate models. MAE gives equal weight to all errors, while RMSE gives extra weight to large errors. ... [Read more...]

An Introduction to Collaborative Filtering

July 12, 2013 | Kushan Shah

A typical consumer today uses multiple devices to surf the web and interact in many ways with your eCommerce business. For most stores, maximizing conversion and increasing order size in this environment is not only an enormous challenge, but also an incredible opportunity. eCommerce stores also have a variety of ... [Read more...]

Longer-history back-tests

July 11, 2013 | systematicinvestor

One of the important steps of evaluating new trading idea or strategy is to see how it behaved historically (i.e. create back-test and examine the equity curve in different economic and market conditions) However, creating a long back-test is usually problematic because most ETFs do not have a long ... [Read more...]

Generate UUIDs in R

July 11, 2013 | Christopher Bare

Here a snippet of R to generate a Version 4 UUID. Dunno why there wouldn't be an official function for that in the standard libraries, but if there is, I couldn't find it. 
## Version 4 UUIDs have the form:
##    xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx
##    where x is any hexadecimal digit and
##    y is one of 8, 9, A, or B
##    f47ac10b-58cc-4372-a567-0e02b2c3d479
uuid
View as a gist: https://gist.github.com/cbare/5979354 [Read more...]

rxDTree(): a new type of tree algorithm for big data

July 11, 2013 | Joseph Rickert

by Joseph Rickert The rxDTree() function included in the RevoScaleR package distributed with Revolution R Enterprise is an an example of a new class of algorithms that are being developed to deal with very large data sets. Although the particulars differ, what these algorithms have in common is the use ... [Read more...]

A Julia Meta Tutorial

July 11, 2013 | Sean Murphy

If you are thinking about taking Julia, the hot new mathematical, statistical, and data-oriented programming language, for a test drive, you might need a little bit of help. In this blog we round up some great posts discussing various aspects … Continue reading → The post A Julia Meta Tutorial appeared first ... [Read more...]

UseR! 2013 – Day 1 notes

July 10, 2013 | David Smith

Hadley Wickham presents at the useR! 2013 conference, July 10 2013 Today marked the first day of the 2103 useR! conference, a gathering of more than 350 R users from around the world. The conference has been quite a success so far, kicking off yesterday with a day of tutorials followed by a tapas-fueled welcome ... [Read more...]

Analyse discriminante linéaire ou Regression logistique

July 10, 2013 | G-Tch

Supposons que l'on dispose d'iris de Paris (en population __100khabts) et qu'on veuille pouvoir les classer selon leurs caractéristiques sociodémos : Population taux de chômage Etudiants CSP etc... Une fois, les iris classés, on se demande si l'on peut transporter cette typologie à une autre grande ville (Lyon) ... [Read more...]
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