Creating sample data is a common task performed in many different scenarios. R has several base functions that make the sampling process quite easy and fast. Below is an explanation of the main functions used in the current set of exercices: 1. set.seed() – Although R executes a random mechanism of sample creation, set.seed() function Read more »

In case you missed them, here are some articles from September of particular interest to R users. The R-Ladies meetups and the Women in R Taskforce support gender diversity... Read more »

Extending accessibility of open-source statistical software to the masses: A shiny case study Brandon LeBeau University of Iowa R R is... Read more »

Introducing text2vec 0.4 Today I’m pleased to announce new major release of text2vec - text2vec 0.4 which is already on CRAN. For those readers who is not familiar with text2vec... Read more »

In this post, I will talk about the presentation of R that I did today, in the first week of my PhD. Usually, it is a team-only presentation. Yet,...Read more »

Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …Continue reading →Read more »

Regardless of the tool you use to analyse data, you'll often have to access data living in file formats generated by other tools. The "haven" package from RStudio allows...Read more »

Raccoon is a free web-book about Statistical Models with R. Raccoon is the collection of twenty years of notes, exercises and concepts working with statistics and R, and it...Read more »

You want to get started on text mining, but most of the tutorials you start, get pretty complex very quickly? Or you can’t find a proper data set to...Read more »

Today we’re excited to announce R Notebooks, which add a powerful notebook authoring engine to R Markdown. Notebook interfaces for data analysis have compelling advantages including the close association...Read more »