# Blog Posts

UK General Election 2017: May vs June Pundits have been asking themselves over the last days how did Theresa May's gamble fail? I would say it could have been even worse. May the Force of R be With You, Always! With Telegram, the force of R can always be with me, where I have data. The Effective Number of Parties in the Electorate by Year and Region Using the American National Election Studies, compute the Effective Number of Parties in the electorate across regions and years/waves. Yet the Worst Olympic Chart The Olympics barely began but we already have the worst chart winner. Calculating Memory Requirements A post about size and memory requirements that a computer must have to deal with a data frame. What is reproducible research? This entry states a minimalist view of reproducible research: The capacity of repeating an experiment in any place with any person. R packaging industry close-up: How fast are we growing? This entry brings in a quick analysis of the rate R packages have been published in the official repository (CRAN). Everything Ends on Wednesday This post approaches HIV incidence rate among Brazilians and simulates several levels of HIV infection. The Star Wars Grossing War This post shows how to scrap data from 'boxofficemojo.com', then to clean and visualize the data. Gender Effect in Conference Talks The entry discuss a study that finds strong gender effects in conference talks Venezuelan Parliamentary Election: What do the Polls Say? This entry explores the coming legislative election in Venezuela: Government is about to lose the majority. Venezuela's 2015 Parliamentary Elections This post shows the tremendous variability from pollster to pollster about the voting intention among Venezuelans. Retrieving Data from Google Books with `ngramr` The post explores the Google Ngram Viewer service requested from. Competing views on Argentina's Frontrunner This post analyze the very few polls published so far on the Argentina's runoff election. Overall, polls seem to be telling two distinct histories. House Effects in Argentinian polling This post presents the estimated house effects for the main presidential candidates in Argentina, considering more than 115 polls since 2014. Paranormal Distribution This is funny. A Talk About Campaign Finance in Brazil This post provides some unsolicited comments on the campaign finance issue. Understanding Margin of Error for Small Populations This post discusses margin of error, gives some theoretical reasons and apply them to a real poll. The Butterfly Curve This post shows the implementation of the butterfly curve equation in R, and its output plot produced with ggplot2. Isn't sad that all that matters in an election is the candidate's height? This post discusses the importance of candidates' stature in US presidential elections. The Greek thing This post uses Bayesian methods to analyze polling data of Greek Referendum. R has a new consortium, should we celebrate? This post presents some ideas about the new R Consortium. Frente Amplio Winnability This entry briefly analyzes the population of polls for the coming elections in Uruguay. Runoff in Uruguay: FA is expected to win a third mandate This entry briefly analyzes the population of polls for the coming election in Uruguay: Voters will decide between FA and PN in a short runoff election. A Bit More Fragmented This entry discusses the legislative elections in Brazil, which turned out to produce one of the most fragmented parliament in the world. Yep. He made it; country voted No This post talks big about my last predictions for the Referendum in Scotland. Bayes says `don't worry` about Scotland's Referendum This post uses Bayesian methods to show the anti-independence vote has an overwhelming advantage over the pro-independence side. Discontinuity Bayesian Forecasting The post presents some ideas of a more robust Bayesian linear filtering models to forecast Brazilian subnational elections. Parallel computing in R This post shows parallel computing is incredibly useful, but not every thing worths being distributed across as many cores as possible. Do you believe in World Cup superstition? If you believe in supernatural causality, you will love what the numbers say about the World Cup in Brazil. Got Bootstrap? This post discuss some of the techniques of bootstrapping in R, presented in the new book by Michael Chernick and Robert LaBudde. Parallel Processing: When does it worth? This post shows parallel computing is incredibly useful, but not every thing worths being distributed across as many cores as possible. Showing Explained Variance in Multilevel Models The post shows a way of displaying explained variance of multilevel models using line chart.