Working With Strings In Base R

Jozef Hajnala shows us that you don’t need stringr to do cool things with strings in R:

This post is aimed to serve as an overview of functionality provided by base R to work with strings. Note that the term “string” is used somewhat loosely and refers to character vectors and character strings. In R documentation, references to character string, refer to character vectors of length 1.

Also since this is an overview, we will not examine the details of the functions, but rather list examples with simple, intuitive explanations trading off technical precision.

As much as I like the tidyverse for its data platform professional-friendly approach to R, it is good to know the base libraries (and other alternatives) as well.  H/T R-Bloggers

Related Posts

Deploying An R Service To Azure Kubernetes Service

Hong Ooi shows us how we can use Azure Container Registry and Azure Kubernetes Service to deploy an R model via Plumber: If you run this code, you should see a lot of output indicating that R is downloading, compiling and installing randomForest, and finally that the image is being pushed to Azure. (You will […]

Read More

Road Construction Incentive Contracts And R

Sebastian Kranz promotes an interesting RTutor project: Patrick Bajari and Gregory Lewis have collected a detailed sample of 466 road construction projects in Minnesota to study this question in their very interesting article Moral Hazard, Incentive Contracts and Risk: Evidence from Procurement in the Review of Economic Studies, 2014.They estimate a structural econometric model and find that […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

November 2018
MTWTFSS
« Oct Dec »
 1234
567891011
12131415161718
19202122232425
2627282930