April 2014

Stats in bed, part 1: Ubuntu Touch

April 25, 2014 | Robert

Round at the RSS Statistical Computing committee, we were having a chuckle at the prospect of a meeting about Stats In Bed. By which I mean analysis on mobile devices, phones and tablets (henceforth phablets), not some sort of raunchy … Continue reading → [Read more...]

NYT uses R to forecast Senate elections

April 25, 2014 | David Smith

Nate Silver's departure to relaunch FiveThirtyEight.com left a bit of a hole at the New York Times, which The Upshot — the new data journalism practice at the Times — seeks to fill. And they've gotten off to a great start with the new Senate forecasting model, called Leo. Leo was ... [Read more...]

Example 2014.5: Simple mean imputation

April 25, 2014 | Ken Kleinman

We're both users of multiple imputation for missing data. We believe it is the most practical principled method for incorporating the most information into data analysis. In fact, one of our more successful collaborations is a review of software for ...
[Read more...]

Bandit Formulations for A/B Tests: Some Intuition

April 24, 2014 | Nina Zumel

Controlled experiments embody the best scientific design for establishing a causal relationship between changes and their influence on user-observable behavior. – Kohavi, Henne, Sommerfeld, “Practical Guide to Controlled Experiments on the Web” (2007) A/B tests are one of the simplest ways of running controlled experiments to evaluate the efficacy of a ... [Read more...]

R Helps With Employee Churn

April 24, 2014 | Joseph Rickert

by Joseph Rickert Pasha Roberts, Chief Scientist at Talent Analytics, is writing a series of articles on Employee Churn for the Predictive Analytics Times that comprise a really instructive and valuable example of using R to do some basic predictive modeling. So far, Pasha has published Employee Churn 201 in which ... [Read more...]

Preventing escaping in HTML

April 24, 2014 | suman

Preventing escaping in HTML Preventing escaping in HTML
library(xtable)<br>
## <br>## Attaching package: 'xtable'<br>## <br>## The following objects are masked from 'package:Hmisc':<br>## <br>##     label, label<-<br>
library(stringr)<br>library(whisker)<br>
Problem statementBeing a novice in R language, the problem I faced maight be a novice one, but I spent hours working on it. I was working on making a html based report from a database (PostgreSQL), which would gather ... [Read more...]

2014 Brazilian Election

April 24, 2014 | Daniel Marcelino

Election is coming soon in Brazil and this is told to be The Election for both the ruling party and the opposition. However, I don't believe to see any surprise in the reelection plans of the incumbent president, Dilma Rousseff, though all past demonstrations, poorly on economic scorecard, and the ... [Read more...]

All the Factors | More Looks

April 23, 2014 | klr

Well, my last post Exploring Factors with rCharts and factorAnalytics got enough attention to motivate me to pull in some more Asness, Frazzini, Pedersen factors and plot them in some different ways.  The additional factors are US and global UMD (up m... [Read more...]

Moving From system() calls to Rcpp Interfaces

April 23, 2014 | hrbrmstr

Over on the Data Driven Security Blog there’s a post on how to use Rcpp to interface with an external library (in this case ldns for DNS lookups). It builds on another post which uses system() to make a call to dig to lookup DNS TXT records. The core ... [Read more...]

Benchmarking RRE and SAS

April 23, 2014 | Thomas W DInsmore

by Thomas Dinsmore Regular readers of this blog may be familiar with our ongoing effort to benchmark Revolution R Enterprise (RRE) across a range of use cases and on different platforms. We take these benchmarks seriously at Revolution Analytics, and constantly seek to improve the performance of our software. Previously, ... [Read more...]

A Weekend With Julia: An R User’s Reflections

April 23, 2014 | Francis Smart

The Famous Julia First off, I am not going to talk much about Julia's speed. Everybody has seen the tables and graphs showing how in this benchmark or another, Julia is tens times or a hundred times faster than R.  Most blog posts talking about Julia test the generality of ... [Read more...]

Set Up Shiny-server on www.digitalocean.com

April 23, 2014 | Huidong Tian

RStudio supplies several servers for hosting user’s apps, e.g. http://www.shinyapps.io/, http://spark.rstudio.com, http://glimmer.rstudio.com. Thanks a lot to RStudio who has contributed many excellent R libraries! I want to set my shiny-server on a virtual private server (VPS), because I have ... [Read more...]
1 2 3 4 5 13

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)