R-bloggers

Welcome to the 28th post in the relatively random R recommendations series, or R4 for short. Our last post was a “double entry” in this R4 series and the newer T4 video series and covered a topic touched upon in this R4 series multiple times: eas... [Read more...]

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Introduction Welcome to my series of blog posts about my data manipulation package, {poorman}. For those of you that don’t know, {poorman} is aiming to be a replication of {dplyr} but using only {base} R, and therefore be completely dependency free. What’s nice about this series is that ... [Read more...]

Learn how to apply word2vec in R on your text in this pdf presentation available at http://bnosac.be/index.php/blog/100-word2vec-in-R. Where we focus on our R package word2vec available at https://github.com/bnosac/word2vec You can view the presentatio... [Read more...]

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In recent past, frequent usage of both R and Python by Data Scientists are considerably increasing. RStudio is preferred IDE for most of R users, though, there are Editors and Notebooks which serve for both languages, yet, switching between them is not easy. Especially for those who got used to ... [Read more...]

Consider a regression model with the following causal structure: The variable x1 affects y directly and also indirectly via x2. The following R code implements the model and simulates a corresponding data set. set.seed(1) n = 10000 beta1 = 1; bet... [Read more...]

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Pyomo is a python based open-source package for modeling optimization problems. It makes it easy to represent optimization problems and can send it to different solvers (both open-source and commercial) to solve the problem and return the results in python. The advantage of pyomo compared to commercial software such as ... [Read more...]

Today we are excited to release version 1.1.6 of RStudio Package Manager and announce https://packagemanager.rstudio.com. This service builds on top of the work done by CRAN, to offer the R community: Access to pre-compiled packages on Linux via install.packages resulting in significantly faster package install times on ... [Read more...]

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Estimating the runtime of an R script Background Recently a person on StackOverflow asked a question about how to estimate the runtime of an R script. She was attempting to produce corelation tests for 60 questions in a survey, using the corr.test() ... [Read more...]

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My book, Evidence-based software engineering: based on the publicly available data is now out on beta release (pdf, and code+data). The plan is for a three-month review, with the final version available in the shops in time for Christmas (I plan to get a few hundred printed, and made ... [Read more...]

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Forecasting the future has always been one of man’s biggest desires and many approaches have been tried over the centuries. In this post we will look at a simple statistical method for time series analysis, called AR for Autoregressive Model. We will use this method to predict future sales ... [Read more...]

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Polished.tech is our new software service that makes it easier than ever to add modern authentication to your Shiny apps. Implementing authentication from scratch is inefficient and increases the probability of security vulnerabilities. Hand roll... [Read more...]

Photo by Brian McGowan on Unsplash This is a guest post from RStudio’s partner, Mango Solutions As RStudio’s Carl Howe recently discussed in his blog post on equipping remote data science teams, with the rapidly evolving COVID-19 crisis, companies have been increasingly forced to adopt working from home ... [Read more...]

July 2nd (8:00pm UTC+2) is a date for the last Webinar at Why R? Foundation during season 1!. This week JD Long will talk about Taking friction out of R: helping drive data science adoption in organizations. See you on the Webinar! Details donat... [Read more...]