R-bloggers

Introduction Data exploration Summary of the variables Missing values imbalanced data building the recipe Building the workflow random forest model model training model evaluation Model tuning: logistic regression model Session information Introduction The super easy way, at least for me, to deploy machine learning models is by making use of ... [Read more...]

# Libraries packages 0) { install.packages(setdiff(packages, rownames(installed.packages()))) } invisible(lapply(packages, library, character.only = TRUE)) knitr::opts_chunk$set(comment=NA, fig.width=12, fig.height=8, out.width = '100%') Introduction In Evaluating Mass Muni CAFR Tabulizer Results - Part 3, we discovered that we were able to accurately extract ~95% of ... [Read more...]

inSilecoMisc inSilecoMisc is an R 📦 I have been maintaining for four years now. It was originally designed as a convenient way to share handy functions. Instead of stacking them in my .Rprofile, I created a package and made it available on GitHub. inSilecoMisc is therefore a set of miscellaneous functions, ... [Read more...]

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rOpenSci Software Peer Review’s guidance has been compiled in an online book for more than one year now. We’ve just released its fourth version. To find out what’s new in our dev guide 0.4.0, you can read the changelog, or this blog post for more digested information. Note ... [Read more...]

Today I interviewed Dr. Julia Silge, the creator of janeaustenr::, tidytext::, qualtRics::, and author of Text Mining with R. I’m still recovering from a hand surgery, and this time the interview was done by using a voice-to-text app and email. ... [Read more...]

We often run R interactively, through Rstudio or in the terminal. But you can also run Rscripts without manual intervention. Using Rscript. But where does the output go? Warning: This post is very linux/unix (macos) centred, I don’t know how this works in Windows. Also I’m using ... [Read more...]

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Previously in this series: The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday paradox” puzzle The “Spelling Bee honeycomb” puzzle Feller’s “coin-tossing” puzzle I love 538’s Riddler column, and the April 10 puzzle ... [Read more...]

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A few weeks ago, we published an update of the BTM (Biterm Topic Models for text) package on CRAN. Biterm Topic Models are especially usefull if you want to find topics in collections of short texts. Short texts are typically a twitter message, a short answer on a survey, the ... [Read more...]

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Version 0.7 of the psychonetrics package is now on CRAN! This version is a major restructure of the package leading to a lot of new functionality as well as much faster computations. In addition, a new pre-print is now online describing meta-analysis procedures now implemented in psychonetrics. Free course on Structural ... [Read more...]

A new release of pins is available on CRAN today. This release adds support to time travel across dataset versions, which improves collaboration and protects your code from breaking when remote resources change unexpectedly. [Read more...]

Sounds stupid? Yes, it’s kind of throwing away 99% of Shiny’s power; and you can always build a static website with R markdown, blogdown, or bookdown. Anyway, please keep reading as it will save you time if you are an R users who want to make a portfolio website ... [Read more...]