Join Appsilon and RStudio for a joint webinar – Enabling Remote Data Science Teams – on July 28th @ 11AM EST. We will cover version control, scaling R Shiny, growing a remote data science team, and more. You can register here. How to Set Up a Distributed Data Science Team Setting up a ...

Thurs, August 13th, 9am PDT/12pm EDT/18:00 CEST – Register now! Hosted by the COVID-19 Data Forum/Stanford Data Science Initiative/R ConsortiumCOVID-19 is the first pandemic to occur in the age of... The post Beyond Case Counts: Making COVID-19 Clinical Data Available and Useful appeared first on R Consortium.

The R community is a diverse and inclusive group. About a month ago (June 2020) GitHub announced it would start to remove references to ‘master’ across its sites and I’m surprised the R community hasn’t jumped on the opportunity t...

Note: Thank you to Andrew Collier for looking this blog post over!! Alot of individuals think that to use R or a programming language at work you need to be a software engineer, data analyst, data scientist etc. This can be discouraging to some who don’t work in this ...

In this topic, we will discuss Unsupervised Learning, or as we talked about last time, the situation where you are looking for groups in your data when your data don’t come with a group variable. I.e. sometimes you want to find groups of similar observations, and you need ...

This example shows how to calculate an index of income segregation for Bexar County, TX using data from the 2018 American Community Survey Some measures of economic segregation are calculated by the Census bureau directly, in the American Community Survey, the Census provides the Gini Index of income inequality for many ...

Classification methods and models In classification methods, we are typically interested in using some observed characteristics of a case to predict a binary categorical outcome. This can be extended to a multi-category outcome, but the largest number of applications involve a 1/0 outcome. Below, we look at a few classic methods ...

CoI: Andrew sent me this new book [scheduled for 23 July on amazon] of his with Jennifer Hill and Aki Vehtari. Which I read in my garden over a few sunny morns. And as Andrew and Aki are good friends on mine, this review is definitely subjective and biased! Hence to ...

In this blog post, our colleague Lukas gives you a high-level introduction to RDS files (vs. RData files) and serialization. The function checks whether there is already an RDS with the same name in the path, renames it if required, and provides it with a timestamp and a reference ARCHIVED_...

There is no doubt that, every now and then, one ought to celebrate life. This usually involves people coming together, talking, laughing, dancing, singing, shouting; simply put, it means throwing a party. With temperatures rising, summer offers all the more incentive to organize such a joyous event. Blinded by the ...

Make your first steps with the ggplot2 package to create a scatter plot. Use the grammar-of-graphics to map data set attributes to your plot and connect different layers using the + operator. Define a dataset for the plot using the ggplot() function ...

Quine is a self-reproducing function or a computer program that will output its source source or itself. Terms used are for these programs are also self-replicating programs, self-reproducing programs or self-copying programs (courtesy of wikipedia). Many programming languages have been…Read more ›

So it begins - the first match-up of the first round of the first ever Swimming + Data Science High School Swimming State-Off. If you missed the introductory post and are wondering what all this is about you can catch up here. Today’s match-up is between number 4 seeded New York ...

I really like ridgeline plots but only recently I have learned how to do them myself. Of course, the most famous ridgeline plot ever is the one you find on the cover of Joy Division’s album “Unknown Pleasures”. I wonder how many ridgeline plots done with the {ggridges} package ...