In cekehe/rappp: QC, data transformation and visualization for PAPP

knitr::opts_chunk$set(echo = FALSE)

Take home things

Robust and reproducible data analysis through

• Work in projects in RStudio
• Git and GitKraken/Source Tree
• Rmarkdown
• Making functions instead of copy paste

Additional things that help with robustness and reproducibility indirectly

• Naming things clearly and consistently
• Tidyverse

Benefits from working in projects

• No need for setwd() (or getwd())
• No need to mix up global variables between projects

NOW A DEMO!

Git and GitHub

• Version control
• Collaborations

NOW A DEMO!

Rmarkdown

Making functions

• If you do something more than twice: make it into a function!
• Less error prone
• Cleaner code in actual analysis script
• Keep them short
• Make wrappers for smaller functions for bigger workflow

Things that are good to remember

Divide and conquer

Things that opened our minds

• ggplot
• Interactive plots and shiny apps

Presention

This presention was done using Rmarkdown in RStudio

sessionInfo()

Slide with R Output

summary(cars)

Slide with Plot

plot(pressure)

cekehe/rappp documentation built on May 17, 2022, 8:54 a.m.