Unraveling the term “Validation”: Join the Discussion at the R Validation Hub Community Meeting on February 20, 2024 

February 12, 2024 | R Consortium

Dive into the world of validation at the first R Validation Hub community meeting of the year! What defines a validated R package? Is it ensuring reproducibility across systems? Prioritizing... The post Unraveling the term “Validation”: Join the Discussion at the R Validation Hub Community Meeting on February 20, 2024  appeared first ...
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R Solution for Excel Puzzles

February 12, 2024 | Numbers around us

Puzzles no. 379–388PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Last week I were on my winter holiday and with refreshed mind, it is time to get back to work, to ever...
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Du Bois Visualization Challenge 02

February 12, 2024 | Michael

Slave and Free Negroes – W.E.B Du Bois Recreating the the data visualization of W.E.B Du Bois from the 1900 Paris Exposition using modern tools. See the challenge presentation. Setup library(tidyverse) library(janitor) library(showtex...
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Du Bois Visualization Challenge

February 12, 2024 | Michael

Slave and Free Negroes – W.E.B Du Bois Recreating the the data visualization of W.E.B Du Bois from the 1900 Paris Exposition using modern tools. https://github.com/ajstarks/dubois-data-portraits/tree/master/challenge/2024 Config librar...
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Baking the cake dataset cake

February 11, 2024 | R on Publishable Stuff

Now that I’ve got my hands on the source of the cake dataset I knew I had to attempt to bake the cake too. Here, the emphasis is on attempt, as there’s no way I would be able to actually replicate the elaborate and cake-scientifically rigorous re...
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Du Bois Visualization Challenge 01

February 11, 2024 | Michael

Negro population of Georgia by counties, 1870, 1880 – W.E.B Du Bois Recreating the the data visualization of W.E.B Du Bois from the 1900 Paris Exposition using modern tools. See the challenge presentation. Setup library(tidyverse) lib...
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Du Bois Visualization Challenge

February 11, 2024 | Michael

Negro population of Georgia by counties, 1870, 1880 – W.E.B Du Bois Recreating the the data visualization of W.E.B Du Bois from the 1900 Paris Exposition using modern tools. https://github.com/ajstarks/dubois-data-portraits/tree/master/c...
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Linear Discriminant Analysis (LDA) in R

February 11, 2024 | Zubair Goraya

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 ...
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Favorite apps on my Mac

February 11, 2024 | Posts | Joshua Cook

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 &...
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Emacs as IDE for R

February 10, 2024 | R on Teoten's Blog

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 ...
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Dot plots as an alternative to bar charts

February 10, 2024 | Albert Rapp

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...
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Understanding Linear Discriminant Analysis (LDA)

February 10, 2024 | Zubair Goraya

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 ...
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