R for Data Science: Learn About R Programming With These Articles

WHO Tuberculosis Data & ggplot2

Blog Data Visualization Rposted by Eugene Joh August 2, 2017

So it has been a while since my previous post on some data taken from the UNHCR database. This post we’ll bring it back to the topic of infectious diseases (check out my other posts on the SIR model and MRSA typing). For this post, as similar to previous ones, I give... Read more

Feature Engineering with Tidyverse

Blog R Rposted by Burak Himmetoglu July 19, 2017

In this blog post, I will discuss feature engineering using the Tidyverse collection of libraries. Feature engineering is crucial for a variety of reasons, and it requires some care to produce any useful outcome. In this post, I will consider a dataset that contains description of crimes in... Read more

Using GRAKN.AI to reason over an R dataset

Blog Rposted by Jo Stichbury June 13, 2017

Introduction In this article I will introduce an open-source knowledge graph platform called GRAKN.AI. I’m going to use it to load a simple dataset, and show how to calculate basic statistics such as maximum and mean values. A good question at this point would be: as... Read more

How Do You Discover R Packages?

Blog R Tools Workflow Rposted by Julia Silge May 29, 2017

Like I mentioned in my last blog post, I am contributing to a session at userR 2017 this coming July that will focus on discovering and learning about R packages. This is an increasingly important issue for R users as we all decide which of the... Read more

On indexing operators and composition

Blog R Rposted by John Mount May 20, 2017

In this article I will discuss array indexing, operators, and composition in depth. If you work through this article you should end up with a very deep understanding of array indexing and the deep interpretation available when we realize indexing is an instance of function composition... Read more

Scraping CRAN with rvest

Blog R Tools Data Mining|Rposted by Julia Silge May 17, 2017

I am one of the organizers for a session at userR 2017 this coming July that will focus on discovering and learning about R packages. How do R users find packages that meet their needs? Can we make this process easier? As somebody who is relatively... Read more

RIDE – A New Data Science IDE for Python and R

Python R Tools & Languagesposted by May 9, 2017

The data science world is split into two parts: the (i)Python and the R community. Both groups offer a plethora of tools and libraries enriching our work-life as a data scientist. Interestingly, many of the offerings are complementary, such that professional data scientists should know both... Read more

Choroplethr v3.6.0 is now on CRAN

Data Visualization Modeling R Tools Tools & Languagesposted by Ari Lamstein May 9, 2017

Choroplethr version 3.6.0 is now on CRAN. This version adds functionality for getting and mapping demographics of US Census Tracts. You can install it from the R console as follows: 1 2 3 install.packages("choroplethr") packageVersion("choroplethr") ‘3.6.0’ To use this functionality you will need an API... Read more

Exploring the Relationship between Religion and Demographics in R

Data Visualization Modeling R Statistics Tools & Languagesposted by Julia Silge April 25, 2017

Today’s guest post is by Julia Silge. Take a look at her work on (“Mapping US Religion Adherence by County in R“) where she demonstrated how to work with US religion adherence data in R. In this post she explores the relationship between that dataset and US... Read more

Fixing an infelicity in ‘leaps’

R Tools & Languages Rposted by Thomas Lumley April 23, 2017

The ‘leaps’ package for R is ancient – this is its tenth twentieth year on CRAN. It uses old Fortran code by the Australian computational statistician Alan Miller. The Fortran 90 versions are on the web, but Fortran 90 compilation with R wasn’t portable back then, so I... Read more