The new rOpenSci spelling package provides utilities for spell checking common document formats including latex, markdown, manual pages, and DESCRIPTION files. It also includes tools especially for package authors to automate spell checking of R documentation and vignettes. Spell Checking Packages The main purpose of this package is to quickly ... [Read more...]

The new rOpenSci spelling package provides utilities for spell checking common document formats including latex, markdown, manual pages, and DESCRIPTION files. It also includes tools especially for package authors to automate spell checking of R docume... [Read more...]

We are very excited to announce the initial release of our newest R package, tibbletime. As evident from the name, tibbletime is built on top of the tibble package (and more generally on top of the tidyverse) with the main purpose of being able to crea... [Read more...]

Some thoughts about Bayesian Kriging in INLA I have been playing around with spatial modelling in the R INLA package. This blog just records a few thoughts I have had about using INLA for kriging (spatial interpolation). I am keen to discuss these ide... [Read more...]

Version 3.4 of the Knime Analytics Platform, the open-source data science workflow toolbox, was released back in July. With that release came new integrations with Azure and Microsoft R Server, which were highlighted in a recent blog post. With Knime 3.4, you can use Microsoft R Server packages in an R node, ... [Read more...]

Webinar Series: Data Science Undergraduate Education Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting onSeptember 12 and ending on November 14. See below for the … Continue reading → [Read more...]

Hi there! We just launched a new course: Multiple and Logistic Regression by Ben Baumer! In this course, you'll take your skills with simple linear regression to the next level. By learning multiple and logistic regression techniques you will gain the... [Read more...]

In this first volume of symplyR, we are excited to share our Practical Guides to Partioning Clustering. The course materials contain 3 chapters organized as follow: K-Means Clustering Essentials Contents: K-means basic ideas K-means algorithm ... [Read more...]

"After you've mastered a small number of R functions, visualizations like this become easy (and, they're great practice)." The post Mapping the largest cities in Asia using R appeared first on SHARP SIGHT LABS. [Read more...]

Hi there! We just launched a new course: Multiple and Logistic Regression by Ben Baumer! In this course, you'll take your skills with simple linear regression to the next level. By learning multiple and logistic regression techniques, you will gain the skills to model and predict both numeric and categorical ... [Read more...]

This exercise set provides practice using the fast and concise data.table package. If you are new to the syntax it is recommended that you start by solving the set on the basics of data.table before attempting this one. We will use data on used cars (Toyota Corollas) on ... [Read more...]

Goals of the Rewrite healthcareai is intended to serve a wide range of users, from the least technical to the most technical. As we worked with users from this entire spectrum, we found that there were some significant gaps and unnecessary pain points. We also took this opportunity to increase ... [Read more...]

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In a previous post, I derived and coded a Gibbs sampler in R for estimating a simple linear regression. In this post, I will do the same for multivariate linear regression. I will derive the conditional posterior distributions necessary for the blocked Gibbs sampler. I will then code the sampler ... [Read more...]

The next event in the Effective Applications of the R Language (EARL) conference series takes place next week, with EARL London 2017. The EARL conference series got its start in London, and the London event remains the biggest and brightest of the venues. This year's program is no exception, with an ... [Read more...]

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Background Let me preface this by saying I am not making a recommendation to use the Hoffman method. Neither am I advocating for reference interval mining from routine data. There are many challenges associated with this kind of effort. That's for another post I think. However, I am going to ... [Read more...]

My students, Vincent Yang and Harrison Nguyen, and I have developed a new data visualization package, cdparcoord, available now on CRAN. It can be viewed as an extension of the freqparcoord package written by a former grad student, Yingkang Xie and myself, which I have written about before in this ... [Read more...]