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R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
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Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
A frictionless, pipeable approach to dealing with summary statistics
Use RMarkdown to generate PDF Conference Posters via HTML
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.
Bayesian Data Analysis demos for R
Keeping track of what is going on with the latest DiD innovations.
Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil. Data cover years 2014-23.
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
Simple and secure authentification mechanism for single shiny applications.
A htmlwidgets implementation of Handsontable.js
R interface to Deck.gl and Mapbox
How to install local shiny apps
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.
Created by Ross Ihaka, Robert Gentleman
Released August 1993