README.md

In HSPS-DataScience/Visualizr: R Package To Reporting and Templates In Rmarkdown

Visualizr

Visualizr is an R wrapper for rparser, an R script parsing module built in Python. The module takes an r script as a template and converts it to RMarkdown, simplifing initial EDA on new datasets and avoiding copying and pasting Rmd documents from project to project.

Installation

• RParser:
• Requires Python 3.6.5 >=
• pip install git+https://github.com/HSPS-DataScience/RParser.git#egg=RParser
• To update RParser from github, uninstall: pip uninstall RParser then install again
• Visualizr:
• library(devtools)
• devtools::install_github("HSPS-DataScience/HSPSUtils")
• devtools::install_github("HSPS-DataScience/Visualizr")
• Update visualizr:
• devtools::update_packages("Visualizr")

Note

• File IO and manipulation is much easier in Python as compared with R so the functionality was abstracted into the Python module
• knitr::spin and knitr::stitch offer similar functionality to RParser, however, they focus on building html documents out of r scripts and Rmd templates. The utility of Visualizr provides the user with an Rmd file generated from a template. This provides a single source for templates but still allows the user to change the generic functions in their own Rmd file.

HSPS-DataScience/Visualizr documentation built on May 9, 2019, 3:25 a.m.