I am forever returning to PubMed data, downloaded as XML, trying to extract information from it and becoming deeply confused in the process. Take the seemingly-simple question “how many retracted articles are there in PubMed?” Well, one way is to search for records with the publication type “Retracted Article”. As ... [Read more...]

Two days ago, Kaggle began a new competition called the Otto Group Product Classification Challenge. In this competition, participants are challenged to create a model to correctly classify products between 9 product categories (fashion, electronics, etc.). The data consists of 200k products with 93 features each. The features have been obfuscated so ... [Read more...]

Introduction Today there was a solar eclipse that was not visible on my side of the Atlantic, but was seen on the European side, either as a partial eclipse, towards the south, or a total one, towards the north [1]. Eclipses being rare and solar power being a new thing, this ... [Read more...]

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The concept of “tidy data”, as introduced by Hadley Wickham, offers a powerful framework for data manipulation, analysis, and visualization. Popular packages like dplyr, tidyr and ggplot2 take great advantage of this framework, as explored in several recent posts by others. But there’s an important step in a tidy ... [Read more...]

EU - Life Quality Geo Report 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 healt... [Read more...]

by Joseph Rickert The gradient boosting machine as developed by Friedman, Hastie, Tibshirani and others, has become an extremely successful algorithm for dealing with both classification and regression problems and is now an essential feature of any machine learning toolbox. R’s gbm() function (gbm package) is a particularly well ... [Read more...]

Cubist is a tree-based model with a OLS regression attached to each terminal node and is somewhat similar to mob() function in the Party package (https://statcompute.wordpress.com/2014/10/26/model-segmentation-with-recursive-partitioning). Below is a demonstrate of cubist() model with the classic Boston housing data. [Read more...]

This morning, in our Time Series course, we’ve been playing with some data I got from google.ca/trends/. Actually, we’ve been playing on some old version, downloaded 18 months ago (discussed in a previous post, in French). __ urls = "http://freakonometrics.free.fr/report-headphones-2015.csv" __ report=read.table( + urls,... [Read more...]

A line of best fit lets you model, predict, forecast, and explain data. This post shows how you can use a line of best fit to explain college tuition, rats, turkeys, burritos, and the NHL draft. Read on or see our tutorials for more. Contact us if you’re interested ... [Read more...]

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Consider here the dataset used in a previous post, about visualising a classification (with more than 2 features), __ MYOCARDE=read.table( + "http://freakonometrics.free.fr/saporta.csv", + header=TRUE,sep=";") The default classification tree is __ arbre = rpart(factor(PRONO)~.,data=MYOCARDE) __ rpart.plot(arbre,type=4,extra=6) We can change the options ... [Read more...]

 If you have any questions to this tutorial or find some problems please feel free to create a topic in the forum: http://thinktostart.com/forums/forum/questions-tutorials/analyze-linkedin-with-r/ Some time ago I saw an interesting post in a R... The post Analyze LinkedIn with R appeared first on ThinkToStart. [Read more...]

A new version of the checkpoint package for R has just been released on CRAN. With the checkpoint package, you can easily: Write R scripts or projects using CRAN package versions from a specific point in time; Share R scripts with others that will automatically install the appropriate package versions (... [Read more...]

Filed under: Kids, Linux, R, University life, Wines Tagged: An Evil Guest, editor, unix, vim [Read more...]

I spend much of my day sitting in front of a screen, coding or writing. To limit the strain on my eyes, I use a dark theme as much as possible. That is, I write with light colored text on a dark background. I don’t know why this is ... [Read more...]

Are you a die-hard supporter of one European soccer (football) team (club)? Having a rough season, or just want to watch more matches with passion?This European Team Finder analyzed 126 attributes of the top-flight teams in the marquee n... [Read more...]

In this post, I compare fantasy football to stock picking.  There are important lessons we can learn from financial forecasting that can be applied to forecasting football players’ performance. Fantasy Football[...] The post How Fantasy Football is Like Stock Picking (Including a Shiny App) appeared first on Fantasy Football Analytics. [Read more...]

by Gary R. Moser Director of Institutional Research and Planning The California Maritime Academy I recently contacted Joseph Rickert about inviting Vim guru Drew Niel (web: vimcasts.org, book: "Practical Vim: Edit Text at the Speed of Thought") to speak at the Bay Area R User Group group. Due to ... [Read more...]