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.
Explore and Visualize Your Data Interactively • esquisse
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.
Super Solutions for Shiny Architecture 3/5: Softcoding Constants in the App - Appsilon Data Science | End to End Data Science Solutions
Two methods for keeping your Shiny app organized while avoiding hardcoding. Also, a tip for adding multiple languages (internationalization) for your app.
ls - how to make function in R to remove all objects from global environment except defaults and objects passed as arguments - Stack Overflow
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...
An Introduction to the printr Package - Yihui Xie | 谢益辉
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 …
How to Automatically Document Data With the codebook Package to Facilitate Data Reuse - Ruben C. Arslan, 2019
Data documentation in psychology lags behind not only many other disciplines, but also basic standards of usefulness. Psychological scientists often prefer to i...
Create pretty tables for HTML, PDF, Microsoft Word and Microsoft PowerPoint documents from R Markdown. Functions are provided to let users create tables, modify and format their content. It also extends package officer that does not contain any feature for customized tabular reporting.
Manipulation of Microsoft Word and PowerPoint Documents • officer
Access and manipulate Microsoft Word and Microsoft PowerPoint documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.