Introduction I have been writing about using the {TidyDensity} package with shiny for the last few posts, and this one is the last. This post will go over the app and discuss how to change the output of the graph from a ggplot2 object into a plo...

R or Python? who cares! Which editor? now that’s a different story. I like Rstudio for many reasons. Outside the personal, Rstudio allows you to write both R + Python = Rython in the same script. Apart from that, the editor’s level of complexity is well-balanced, not functionality-overkill like some, ...

R is a powerful programming language and environment for statistical computing and graphics. In this post, we will provide a quick introduction to R using the famous iris dataset. We will cover loading data, exploring the dataset, basic data manipulation, and plotting. By the end, you should have a good ...

Introduction In Part 2 of this series we learned that summing the valence measurement of the words in the Afrisenti data set did not agree well with the sentiments already provided. While the sentiments we calculated made sense in general, they w...

Introduction If you’re new to data science or statistics, you may have heard about probability distributions. Probability distributions are mathematical functions that help us understand the probability of a random variable taking on a certain v...

Logic will get you from A to B. Imagination will you take everywhere. (Einstein) R can already take you everywhere. With it we can learn about the minutest particles and the largest galaxies. So, to celebrate the release of R 4.3 (“Already Tomorrow”, on April 21st, 2023), let’s reverse Einstein’s ...

Starting from an X validated question on finding an unbiased estimator of an integral raised to a non-integer power, I came across a somewhat interesting Bernoulli factory solution! Thanks to Peter Occil’s encyclopedic record of cases, pointing out to Mendo’s (2019) solution for functions of ρ that can be expressed ...

Vincent Guyader talked to the R Consortium about his background with the R language, describing his acquisition of experience and skills in developing solutions to scientific and industrial problems. He... The post Using R to Develop Solutions for Industrial Problems appeared first on R Consortium.

Researchers are not born engineers — why are they expected to know how to code?During my time as a cognitive neuroscience researcher, I learned coding by doing. To answer most of my research questions, I wrote code in R. I knew it wasn’t great code, wi...

Introduction In the previous post we allowed users to choose a distribution and a plot type. Now, we want to allow users to download a .csv file of the data that is generated. In the UI, we added a downloadButton with outputId = "download_data" ...

You had a great idea how to help your coworkers optimize their work. You’ve built an app and deployed it in a production server. Now you wait for some signs of success: your happy colleagues praising the app or recommending it to others. But the messages of praise don’...

The R Consortium gives grants to help R User Groups (RUGS) around the world organize, share information, and support each other. We are currently accepting applications!  The R Consortium RUGS... The post The 2023 RUGS Program is awarding grants for 2023! appeared first on R Consortium.

I am happy to announce that my new R package, zctaCrosswalk, is now on CRAN. This package contains the US Census Bureau’s 2020 ZCTA to County Relationship File, as well as convenience functions to translate between States, Counties and ZIP Code Tabulation Areas (ZCTAs). You can install the package like ...

Introduction Shiny is an R package that allows you to create interactive web applications from R code. In this blog post, we’ll explore the different components of a Shiny application and show how they work together to create an interactive data...

This post is part of the series maps-app. You can also find the current state of the project under my GitHub repo mapic. Scope of this post We are creating maps of data showing changes over a span of time for different countries and pointing at all kinds of cities. ...

Clinical research studies and healthcare economics studies are frequently concerned with assessing the prognosis for survival in circumstances where patients suffer from a disease that progresses from state to state. Standard survival model...