No Clocks

Interactive charts for your web pages.

An initiative of the Swiss Association of Actuaries

Using Git and GitHub with R, Rstudio, and R Markdown

Turn your analyses into high quality documents, reports, presentations and dashboards with R Markdown. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL. R Markdown supports a reproducible workflow for dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more.

The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages.

Provenance tracking for R. Contribute to NCEAS/recordr development by creating an account on GitHub.

It parses a fitted R model object, and returns a formula in Tidy Eval code that calculates the predictions. It works with several databases back-ends because it leverages dplyr and dbplyr for the final SQL translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.

A shiny gadget to create ggplot2 charts interactively with drag-and-drop to map your variables. You can quickly visualize your data accordingly to their type, export to PNG or PowerPoint, and retrieve the code to reproduce the chart.

Two methods for keeping your Shiny app organized while avoiding hardcoding. Also, a tip for adding multiple languages (internationalization) for your app.

renv

I'm new to R (and programming in general), so I've been making various functions to warm myself up to it. I've been trying to figure out how to make an R function that will clear my global environ...

PDF Toolkit. :paperclip: :hammer: :wrench: :scissors: :bookmark_tabs: :file_folder::paperclip: :bookmark: :construction: :construction_worker: - pridiltal/staplr

Wrap R for Sweet R Code. Contribute to WinVector/wrapr development by creating an account on GitHub.

Wings for your R packages: Streamline the process of versioning R packages and updating NEWS - krlmlr/fledge

The printr (read “printer” or “print R”) package is a companion package to knitr. Its main purpose is to extend the S3 generic function knit_print() in knitr, which is the …

Data documentation in psychology lags behind not only many other disciplines, but also basic standards of usefulness. Psychological scientists often prefer to i...

codebook

Nine experts reveal the latest research on optimizing human performance and productivity

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science) - rolkra/explore

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org. - JSchelldorfer/ActuarialDataScience

Read a table of fixed width formatted data of different types into a data.frame for each type. - prontog/multifwf