Showing 4 open source projects for "version"

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  • 1
    RStudio Cheatsheets

    RStudio Cheatsheets

    Curated collection of official cheat sheets for data science tools

    ...Each cheat sheet is a single (or double) page PDF that condenses important syntax, functions, workflows, and best practices into a visually organized format ideal for quick reference. The repository contains source files (R Markdown or LaTeX) that generate the cheat sheets, version history, and metadata (title, author, description) for each. It covers topics such as data wrangling, data import, modeling, visualization, RStudio IDE shortcuts, Shiny development, and the tidyverse suite (dplyr, ggplot2, tidyr, purrr). These cheat sheets are widely used by R learners, educators, and practitioners as quick reference tools, and they often ship with RStudio by default or are linked from RStudio’s help/documentation pages. ...
    Downloads: 1 This Week
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  • 2
    Statistical Rethinking 2024

    Statistical Rethinking 2024

    This course teaches data analysis

    ...This version is designed for students following the 2024 lecture series, offering the most current set of examples, exercises, and teaching material aligned with the Statistical Rethinking framework. Online, flipped instruction. I will pre-record the lectures each week. We'll meet online once a week for an hour to discuss the material. The discussion time (3-4pm Berlin Time) should allow people in the Americas to join in their morning.
    Downloads: 1 This Week
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  • 3
    QBPWCF

    QBPWCF

    PHP library for building website in Fedora Linux

    此專案的目的是要建立簡單、易用、參數說明完整且富有調整性的PHP元件庫,讓網頁程式設計開發者可以輕鬆地建立高度客製化的網站。 套用當代的術語而言,就是要作為LOW CODE平台的函式庫。
    Downloads: 0 This Week
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  • 4
    Statistical Rethinking 2022

    Statistical Rethinking 2022

    Statistical Rethinking course winter 2022

    This repository hosts the 2022 version of the Statistical Rethinking course. It contains course materials such as R scripts, notebooks, and worked examples aligned with McElreath’s textbook. The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating).
    Downloads: 0 This Week
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