Taylor Swift and Data Analysis. by Jerry Tuttle Who will be the most talked-about celebrity before, during, and after the Super Bowl?

Are you looking for a simple, robust, and efficient method to help you with classification and dimensionality reduction? Do you want to learn how to implement and evaluate LDA in R programming, one of the most popular and powerful techniques for these ...

Will do a separate post on command line setup and tools. VSCode is in the list and I’ll do a separate post on the extensions I have installed. For each application, I have indicated the price with one of the following icons1 – , , – indicating &...

Recently I have seen many posts about which IDE for R people prefer, with minimalists list of options, usually of size 2: R Studio and VS Code. I guess that some people forget, or many don't even know about two of the most powerful text editors that have been helping developers ...

I recently saw a cool LinkedIn post where it was highlighted that a dot plot is a pretty neat alternative to bar charts. While bar charts makes it easy to compare categories, dot plots put more emphasis on individual data points. I thought the i...

Setup Loading some packages that will be used for demonstrations and analysis: library(tidyverse) # Data wrangling and plotting library(ggdist) # Easy and aesthetic plotting of distributions library(ggExtra) # Adding margina...

Key Points Linear discriminant analysis (LDA) is a supervised learning technique that can be used for classification, dimensionality reduction, feature extraction, clustering, or visualization.It assumes that the data follow a multivariate normal distribution with class-specific parameters and estimates the prior probabilities, the means, and the covariance matrices of each ...

1. What is a violin plot? A violin plot is a mirrored density plot that is rotated 90 degrees as shown in the picture. It depicts the distribution of numeric data. 2. When should you use a violin plot? A violin plot is useful to compare the ...

The R Consortium is excited to announce the opening of our call for proposals for the 2024 Infrastructure Steering Committee (ISC) Grant Program on March 1st, 2024. This initiative is... The post R Consortium Infrastructure Steering Committee (ISC) Grant Program Accepting Proposals starting March 1st! appeared first on R Consortium.

In the diverse universe of statistical analysis, Bayesian statistics stands as a beacon of a distinct approach to understanding and interpreting the world through data. Unlike the classical, or frequentist, approach to statistics that many are familiar...

Shiny Apps have emerged as a powerful tool, transforming data analysis and visualization. These interactive web applications are crafted using the R programming language, and no knowledge of HTML, CSS, or JavaScript is required. When it comes to industries governed by stringent regulations, such as pharmaceuticals and healthcare, an important ...

Yesterday, I was chating with a young and enthousiastic actuary, who asked a nice (and classical) question: is it the same, or not to use a Tweedie regression, or two regressions (Poisson, and Gamma). For distributions, the two are equivalent, but when we have heterogeneity and explanatory variable, I really ...

The R Consortium recently connected with Kylie Bemis, assistant teaching professor at the Khoury College of Computer Sciences at Northeastern University. She has a keen interest in statistical computing frameworks... The post Improving with R: Kylie Bemis Unveils Enhanced Signal Processing with Matter 2.4 Upgrade appeared first on R Consortium.

The R Consortium Submission Working Group has now successfully made two pilot submissions to the FDA. All the submissions done by the group are focused on improving practices for R-based clinical trial regulatory submissions. Now, the R submission Working Groups, in collaboration with Appsilon and Posit, are exploring new technologies ...