Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Optimization Tips: Use data.table for faster data manipulation. Profile code with profvis to identify bottlenecks. Conclusion Combining R and Linux creates a powerful environment for statistical ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Let's use this classical statistics technique -- and some R, of course -- to get to some of the latent variables hiding in your data. Factor analysis is a classical statistics technique that examines ...

Since the software they most commonly use does not perform in depth competing risk analysis, we recommend an add-on package for the R statistical software.

The Data Science Lab Fundamentals of T-Test Using R Linear regression was easy, right? Now, let's check out t-test analysis using R. By James McCaffrey 02/02/2016 ...

This protocol presents a state-of-the-art computational and statistical RNA-seq differential expression analysis workflow largely based on the free open-source R language and Bioconductor software ...

Using Quarto with Observable offers an elegant workflow if you want to combine data analysis in Python and R with reactivity.

From getting subsets of your data to pulling basic stats from your data frame, here's what you need to know.

You could find this answer with traditional programs like R or Excel, but you would have to know what command to use. With Advanced Data Analysis, you can ask in plain language.