R Archives

How to Import an Excel File in RStudio

R Tools & Languages Excel Rposted by Antoine Soetewey October 6, 2021

As we have seen in this article on how to install R and RStudio, R is useful for many kinds of computational tasks and statistical analyses. However, it would not be so powerful and useful without the possibility to import datasets into R. As you will most... Read more

Using Keras and TensorFlow in R

R Tools & Languages Keras R TensorFlowposted by Jacey Heuer November 12, 2019

Keras and Tensorflow are two very powerful packages that are normally accessed via python. Since the packages were developed for python they may have the illusion of being out of reach for R users. However, this is not the case as the Keras and Tensorflow packages... Read more

What is “Tidy Data”?

R Tools & Languages R tidy data tutorialsposted by John Mount November 8, 2019

I would like to write a bit on the meaning and history of the phrase “tidy data.” Hadley Wickham has been promoting the term “tidy data.” For example in an eponymous paper, he wrote: In tidy... Read more

R User Community Worldwide: A Data-Driven Exploration

Modeling R Tools & Languages R r ladies r user community worldwide r usersposted by R Central September 26, 2019

This posting discusses the worldwide R user community. R is a programming language and environment for statistical computing and data visualization. An important component of the R ecosystem is its powerful user community, which has continued to expand around the world over the years. In a... Read more

Timing the Same Algorithm in R, Python, and C++

Python R Tools & Languages C++Python Rposted by John Mount September 23, 2019

While developing the RcppDynProg R package I took a little extra time to port the core algorithm from C++ to both R and Python. This means I can time the exact same algorithm implemented nearly identically in each of these three languages. So I can extract some comparative “apples to apples” timings. Please read... Read more

Where is Data Science Heading? Watching R’s Most Popular Packages May Have the Answer

Featured Post R Tools & Languages R r's popular packagesposted by Daniel Gutierrez, ODSC September 9, 2019

Working as both a journalist and data scientist, I’m in a unique position to report on new tools of the profession as well as use them. I’m always seeking out trends surrounding the arrival of said tools because I feel they speak closely to the evolution... Read more

Validating Type I and II Errors in A/B Tests in R

R Tools & Languages ab testing Rposted by John Mount September 5, 2019

In our previous article, we showed that generalized linear models are unbiased, or calibrated: they preserve the conditional expectations and rollups of the training data. A calibrated model is important in many applications, particularly when financial data is involved. However, when making predictions... Read more

Query Generation in R

R Tools & Languages query generation Rposted by John Mount August 30, 2019

R users have been enjoying the benefits of SQL query generators for quite some time, most notably using the dbplyr package. I would like to talk about some features of our own rquery query generator, concentrating on derived result re-use. Introduction SQL represents value use by... Read more

Function Objects and Pipelines in R

R Tools & Languages pipelines in r R toolsposted by John Mount August 27, 2019

Composing functions and sequencing operations are core programming concepts. Some notable realizations of sequencing or pipelining operations include: Unix’s |-pipe CMS Pipelines. F#‘s forward pipe operator |>. Haskel’s Data.Function & operator. The R magrittr forward pipe. Scikit-learn‘s sklearn.pipeline.Pipeline. The idea is: many important calculations can be considered as a sequence of transforms applied to... Read more

Comparing Point-and-Click Front Ends for R

R Tools & Languages point and click Rposted by Bob Muenchen August 23, 2019

For an updated version of this post, see:http://r4stats.com/articles/software-reviews/r-gui-comparison/. Now that I’ve completed seven detailed reviews of Graphical User Interfaces (GUIs) for R, let’s compare them. It’s easy enough to count their features and plot them, so let’s start there. I’m basing the counts on the number of menu... Read more