ANCOVA in R, Analysis of covariance is used to measure the main effect and interaction effects of categorical variables on a continuous dependent variable... The post How to perform ANCOVA in R appeared first on finnstats.

The ggdist package is a ggplot2 extension that is made for visualizing distributions and uncertainty. We’ll show see how ggdist can be used to make a raincloud plot. R-Tips Weekly This article is part of R-Tips Weekly, a weekly video tutorial that sh...

Recently we wrapped up another round of the Shiny Contest, and, as always, the entries were terrific. A previous post announced and discussed the winners, but we wanted to take a moment to highlight some of the examples of fantastic code we saw in the ...

sha256 1 eb5d71529ab540bc4865c181a1129e03186e0959c76196a9fbc0c2a16c767856 Shikokuchuo About as.data.frame data.frame() or as.data.frame() are such ubiquitous functions that we rarely thi...

In my dusty GitHub repository, sitting there, was a gem of a tool for tidying the outputs of a machine learning classification model into a record and row-level view for storage in databases. It has taken me time to get this to CRAN, as the dreaded closure, not subsettable, plagues ...

ShinyProxy is a free and open-source platform to deploy containerized web applications and is packed with enterprise features.

21 July 2021 In this post I’m highlighting 10 new books added to Big Book of R. Thank you to the authors for writing them and thanks to R Posts you might have missed who I got a bunch of these from. Hiring Data Scientists and Machine Learning Engineers Roy … The post 10 ...

R Consortium talks to Daniela Vázquez of R Ladies Montevideo on how they are building community in Latin America and trying to host a conference that people would attend. The... The post R Ladies Montevideo, Uruguay, Explains How to Create a High Quality Conference in the Southern Hemisphere appeared ...

R package data.table has become a tool of choice when working with big tabular data thanks to its versatility and performance. Its Python counterpart py datatable follows R cousin in performance and steadily catches up in functionality. A notable omiss...

Hi R-bloggers ? Starting from today, all posts from this blog in the R category will also appear on R-bloggers. I would like to thank Tal for aggregating my blog, and say “hi!” to all R-bloggers readers. I’m a particle physicist with a passion for R...

Many organisations have a robust infrastructure that allows their data science teams to provide, fast and reliable insights. But for many groups, they are just starting down this path. We, Jumping...

This time around, since first half of the 2021 is behind us, we are making Calendar in R. This will be achieved with two useless functions. Function to draw a month (with optional parameter as current date) Running this function…Read more ›

Spending too much time on making iterative forecasts? I’m super excited to introduce the new panel data forecasting functionality in modeltime. It’s perfect for forecasting many time series at once without for-loops saving you time ⏱️ and aggravation ?. Just say NO to for-loops for forecasting. Fitting many time series ...