Danielle’s weekly chatch-up and advanced sessions designed to make you better at R, whatever your level
Our first Essentials seminR covers basic data exploration including a brief recap of files and paths, importing data using readr, and some functions for exploring our data
Level Up covers the package papaja for creating APA style manuscripts with R Markdown.
Essentials covers pipes and basic data wrangling with dplyr which will be continued in the next session
Level Up covers manipulating categorical data with forcats
Essentials is a continuation from the previous session and covers basic data wrangling with dplyr and a brief recap of pipes
Level Up covers the spotifyr package and demonstrates a few key methods for developing your skills independently
Essentials is a basic recap of R Markdown and covers the key components of an Rmd file including the YAML header, code chunks, and how to format text
Level Up is a gentle introduction to inline code in R Markdown and how we can use inline code to add emojis into our Rmd documents
Essentials recaps file paths, and creating pretty tables with knitr::kable() and kableExtra::kable_styling()
Level Up focuses on data cleaning using a range of functions from dplyr, stats & base R
Essentials covers the basics of creating graphs with ggplot2
There is no Level Up session this week
Essentials covers exporting plots with ggsave()
Level Up focuses on reference formatting with R Markdown
Essentials focuses on common causes of erroRs and gives some tips for debugging your code
Level Up covers reporting results with inline code and includes JennifeR’s report.p() function for presenting pretty p-values