2022

Understanding the native R pipe |>

January 18, 2022 | %>% dreams

A while back, I wrote this tweet showing many (not all!) of the ways one might search for a particular set of columns in a data frame using R. Several of these approaches used the {magrittr} pipe (%__%) and the native R pipe (|__), the lat...

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Building R 4.2 for Windows with OpenBLAS

January 17, 2022 | Avi

This post outlines the steps needed for building R 4.2 for Windows with OpenBLAS using the the new Rtools42 build system. With the soon-to-be released new UCRT toolchain for building R on Windows, the build process changes once again. First and foremost, we Windows users owe a deep debt of gratitude ...

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Analysing seed germination and emergence data with R (a tutorial). Part 9

January 17, 2022 | R on The broken bridge between biologists and statisticians

This is a follow-up post. If you are interested in other posts of this series, please go to: https://www.statforbiology.com/tags/drcte/. All these posts expand on a manuscript that we have recently published in the Journal ‘Weed Science’; please follow this link to the paper. In order ...

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Analysing seed germination and emergence data with R (a tutorial). Part 8

January 17, 2022 | R on The broken bridge between biologists and statisticians

This is a follow-up post. If you are interested in other posts of this series, please go to: https://www.statforbiology.com/tags/drcte/. All these posts expand on a paper that we have recently published in the Journal ‘Weed Science’; please follow this link to the paper. Predictions from ... [Read more...]

Analysing seed germination and emergence data with R (a tutorial). Part 7

January 17, 2022 | R on The broken bridge between biologists and statisticians

This is a follow-up post. If you are interested in other posts of this series, please go to: https://www.statforbiology.com/tags/drcte/. All these posts exapand on a paper that we have recently published in the Journal ‘Weed Science’; please follow this link to the paper. Exploring the ... [Read more...]

Three Videos to Supercharge Your R Skills

January 17, 2022 | RStudio | Open source & professional software for data science teams on RStudio

Image by Rachael Dempsey We have many great videos on the RStudio YouTube channel. You can watch folks discuss their data science stories and processes, learn about packages and products, and hear inspiring examples from others in the community. With h... [Read more...]

Identifying R Functions & Packages Used in GitHub Repos

January 17, 2022 | rstats on Bryan Shalloway's Blog

Documenting #rstats posts Examples Julia Silge Blog David Robinson Tidy Tuesday R for Data Science Chapters Bryan Shalloway Blog TLDR: funspotr provides helpers for spotting the functions and packages in R and Rmarkdown files and associated github repositories. See Examples for catalogues of the functions/packages used in posts by ... [Read more...]

Analysing seed germination and emergence data with R (a tutorial). Part 6

January 17, 2022 | R on The broken bridge between biologists and statisticians

This is a follow-up post. If you are interested in other posts of this series, please go to: https://www.statforbiology.com/tags/drcte/ Fitting time-to-event models with environmental covariates In the previous post we have shown that time-to-even...

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Understanding the native R pipe |>

January 17, 2022 | %>% dreams

Or, why mtcars |__ plot(hp, mpg) doesn’t work and what you can do about it. [Read more...]

Including uncertainty when comparing response rates across clusters

January 17, 2022 | Keith Goldfeld

Since this is a holiday weekend here in the US, I thought I would write up something relatively short and simple since I am supposed to be relaxing. A few weeks ago, someone presented me with some data that showed response rates to a survey that wa...

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Time Series Forecasting Lab (Part 6) – Stacked Ensembles

January 17, 2022 | Boris Guarisma

Cover photo by Markus Spiske on Unsplash Go to R-bloggers for R news and tutorials contributed by hundreds of R bloggers. Introduction This is the sixth of a series of 6 articles about time series forecasting with panel data and ensemble stacking with ...

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Interactive ggplots, user feedback, and a little bit of javascript magic with Shiny

January 16, 2022 | Albert Rapp

I’ve been reading Mastering Shiny by Hadley Wickham lately and one of the things that intrigued me is that you can make ggplots interactive. Though I believe that there are limitation to the level of interactiveness compared to using, say, plotly, I really wanted to practice interactive ggplots with ... [Read more...]

Measuring dependence in the Wasserstein distance for Bayesian nonparametric models

January 16, 2022 | YoungStatS

Overview Bayesian nonparametric (BNP) models are a prominent tool for performing flexible inference with a natural quantification of uncertainty. Traditionallly, flexible inference within a homogeneous sample is performed with exchangeable models ...

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Announcing Tabnet

January 16, 2022 | RBelgium open content

On Thursday, 3 February 2022 we are welcoming Christophe Regouby to RBelgium during an online meetup! https://www.meetup.com/RBelgium/events/282452150/ Christophe will present us: The tabnet R package, or how to outperform XGBoost and LightGBM on tabul...

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{emayili} Message Templates

January 16, 2022 | R - datawookie

This is a placeholder post. More coming soon!

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SwiftBar plugin for storing text snippets

January 16, 2022 | Posts | Joshua Cook

Introduction I found that I was constantly referring to the IPython documentation to look up the code for the autoreload magic command and wished there was an easy place for me to keep and access these sort of “oft-copied” texts. I realized...

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Tips for building a Twitter bot with R and Github Actions

January 16, 2022 | Oscar

16 January 2022 A couple of weeks ago I created my very first twitter bot which was immensely satisfying. It was also quite a frustrating process and this post should save you a lot of frustration :). You can view the code in the github repo. I can’t give enough … The post ...

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Analysing Whatsapp Group Chat Data

January 15, 2022 | Blogs on [email protected]

“Destroy your money, you can earn more. Destroy your data, your existence is erased.” — Kurt Seapoint” In this post I am going to analyse my departmental Whatsapp chat group “Statistics Class of 2019”. Thanks to a special package called rwhatsapp, thi... [Read more...]

Analysing Whatsapp Group Chat Data

January 15, 2022 | Blogs on Adejumo R.S

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Time Series Forecasting Lab (Part 5) – Ensembles

January 15, 2022 | Boris Guarisma

Cover photo by Hannah Busing on Unsplash Go to R-bloggers for R news and tutorials contributed by hundreds of R bloggers. Introduction This is the fifth of a series of 6 articles about time series forecasting with panel data and ensemble stacking with ...

[Read more...]

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2022

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