Repository for my 2022 Rmarkdown Workshop
RMarkdown is a tool for building dynamic documents in the R Programming Language. It enables you to connect the output from statistical analyses directly into documents like Microsoft Word, PDFs, websites, or presentations. Rmarkdown has many uses, including: automating your results-section writeup, building easily updatable webpages of analyses for stakeholders, and even simplifying the process of building websites or typesetting professional-looking books!
This session is targeted at beginners and will introduce you to the basics of Rmarkdown and its different applications (incl. reproducibility and literate programming) using interactive exercises and a “follow along” tutorial. Time will be dedicated to questions and extended demonstrations.
It is absolutely essential you have the following:
Rstudio and R installed on your local computer. If you need help doing this consult: https://www.youtube.com/watch?v=TFGYlKvQEQ4. Please try to have R version 4.0.0 (April, 2020) or later. This can be checked in R with the command print(R.version$version.string)
Course Materials Downloaded: You will need to download the course materials from this site during the workshop. Download the zip file, extract, and open the rmarkdown-workshop.Rproj in Rstudio. The course materials can be downloaded below, or via this URL.
3) Required packages for course. You will also need to install a number of packages to run the exercises in this tutorial. To do so, run the following commands in R:
# This code is also contained the the check_environment.R file in your course materials. You can run from there.
list.of.packages <- c("tidyverse", "rmarkdown", "knitr", "kableExtra", "qwraps2", "apa", "skimr")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)
Please refer to Curtin’s information about attending campus: https://www.curtin.edu.au/novel-coronavirus/