R-bloggers

In this post, fourth in a series (previous posts: Part 1, Part 2, Part 3), I’ll finally talk about some substantive conclusions of the following paper: Kissler, Tedijanto, Goldstein, Grad, and Lipsitch, Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period, Science, vol. 368, pp. 860-868, 22 May 2020 (released online 14 April 2020).  The […]

All data transformation functions in dplyr can be connected through the pipe %__% operator to create powerful and yet expressive data transformation pipelines. Use the pipe operator %__% to combine multiple dplyr functions into one pipeline %__% filter(___) %__% select(___) %__% arrange(___) Using the %__% operator The pipe operator %__% is a special part of the tidyverse ...

A. What is Code Review? Code reviews are traditionally done in the context of a software development team that is building out a new product or feature. The goal is to ensure that anything added to the common code base is free of bugs, follows established coding conventions, and is ...

The other day, Dr. Silge from RStudio posted the screencast and blog post of her #TidyTuesday analysis of the Uncanny X-Men data set from Claremont Run Project. In her analysis, she used logistic regression to model the effect of various features of each comic book issue on the likelihood of ...

Source: Wiktionary.org

Introduction The National Hockey League (NHL) is considered to be the premier professional ice hockey league in the world, founded 102 years ago in 1917. Like many other sports, the data about teams, players, games, and more are a great resource to dive in and analyze using modern software tools. Thanks to ...

To select areas of interest in a data frame they often need to be ordered by specific columns. The dplyr arrange() function supports data frame orderings by multiple columns in ascending and descending order. Use the arrange() function to sort data f...

I am pleased to present volcano3D, an R package which is now available on CRAN! The volcano3D package enables exploration of probes differentially expressed between three groups. Its main purpose is for the visualisation of differentially expressed genes in a three-dimensional volcano plot. These plots can be converted ...

I just released my first open-source package: pelotonR! The package was created to provide users with sample access to Peloton data through R. Learn more at the website: https://lgellis.github.io/pelotonR/

Do you want to visualize beautiful graphs in R but are shy to leave the tidyverse? Tidygraph and Ggraph 'got you covered! See how their main functionalities are applied in this social network example! Der Beitrag A Social Network Simulation In The Tidyverse erschien zuerst auf STATWORX.