May 2015

Odd Connections Inside The NASDAQ-100

May 8, 2015 | aschinchon

Distinguishing the signal from the noise requires both scientific knowledge and self-knowledge (Nate Silver, author of The Signal and the Noise) Analyzing the evolution of NASDAQ-100 stock prices can discover some interesting couples of companies which share a strong common trend despite of belonging to very different sectors. The NASDAQ-100 ...
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TidyR Challenge: Update

May 8, 2015 | Jeffrey Horner

In my last post I described a data set that was a bit cumbersome to parse and I wanted to tidy it up before I could begin visually exploring. You know, the fun part. I wasn’t 100% happy with my solution so I candidly asked the internet to Help Me ... [Read more...]

A Link Between topicmodels LDA and LDAvis

May 8, 2015 | Christopher Gandrud

Carson Sievert and Kenny Shirley have put together the really nice LDAvis R package. It provides a Shiny-based interactive interface for exploring the output from Latent Dirichlet Allocation topic models. If you've never used it, I highly recommend checking out their XKCD example (this paper also has some nice background). ... [Read more...]

How are you feeling..? – Election 2015

May 7, 2015 | Brian Mitchell

The way we communicate is changing. The social media revolution can literally change governments. Twitter is one of the leading mediums through which we, the people, pour forth our informed opinion or raging vitriol, our messages of peace or diatribes … Continue reading → [Read more...]

Digging up embedded plots

May 7, 2015 | Joseph Rickert

by Joseph Rickert The following multi-panel graph, which graces the cover of the most recent issue of the Journal of Computational and Graphical Statistics ,JCGS, (Vol 24, Num 1, March 2015) is from the paper by Grolemund and Wickham entitled Visualizing Complex Data With Embedded Plots. The four plots are noteworthy for a ... [Read more...]

Optimizing R Code in my Model

May 7, 2015 | bryce

Recently I have been talking a fair bit about my inverse modeling work, so now that it’s summer I finally have time to clean up the code base. Now that the code is working fairly well and offers all of the main features that I can think of, the ... [Read more...]

What is new in the vtreat library?

May 7, 2015 | John Mount

The Win-Vector LLC vtreat library is a library we supply (under a GPL license) for automating the simple domain independent part of variable cleaning an preparation. The idea is you supply (in R) an example general data.frame to vtreat’s designTreatmentsC method (for single-class categorical targets) or designTreatmentsN method (... [Read more...]

Extract values from numerous rasters in less time

May 7, 2015 | Fabio Veronesi

These days I was working with a Shiny app for which the computation time is a big problem.Basically this app takes some coordinates, extract values from 1036 rasters for these coordinates and make some computations.  As far as I can (and please correct me if I'm wrong!) tell there are ... [Read more...]

TidyR Challenge: Help Me Do My Job

May 6, 2015 | Jeffrey Horner

Last week I was handed a drug prescription data set and asked to create some interesting graphics. But before I can even get to the fun part, I was faced with actually transforming the set into something that ggplot2 could read. Obviously I can’t share the data, but Tyler ... [Read more...]

EU Life Quality Geo Report

May 6, 2015 | Pablo C.

Living longer, living better? It's equally important to measure the longer living as well as its quality. Analyzing data from eurostat which containts the following two variables: 1- Healthy life years: Is a health expectancy indicator which com... [Read more...]

corrected MCMC samplers for multivariate probit models

May 5, 2015 | xi'an

“Moreover, IvD point out an error in Nobile’s derivation which can alter its stationary distribution. Ironically, as we shall see, the algorithms of IvD also contain an error.”  Xiyun Jiao and David A. van Dyk arXived a paper correcting an MCMC sampler and R package MNP for the multivariate ...
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Data Science in HR

May 5, 2015 | Joseph Rickert

by Joseph Rickert Last year in a post on interesting R topics presented at the JSM I described how data scientists in Google's human resources department were using R and predictive analytics to better understand the characteristics of its workforce. Google may very well have done the pioneering work, but ... [Read more...]
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