Topics
- Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
- Pipe operators (%>% and others)
- Linear Models (Regression)
- ggplot2
- tidyverse
- spatial analysis
- Reproducible R
- .Rprofile
- dplyr
- Creating reports with RMarkdown
- I/O for geographic data (shapefiles, etc.)
- I/O for R's binary format
- Writing functions in R
- Color schemes for graphics
- Using texreg to export models in a paper-ready way
- Data acquisition
Examples
- Rds and RData (Rda) files
- Import and Export Shapefiles
- Displaying multiple plots
- Importing a shape file (.shp)
- dplyr's single table verbs
- Named functions
- Anonymous functions
- Assignment with %<>%
- Data reproducibility
- Package reproducibility
- .Rprofile - the first chunk of code executed
- Printing linear regression results
- Basic R-markdown document structure
- tidyverse: an overview
- RStudio code snippets
- viridis - print and colorblind friendly palettes
- RColorBrewer
- A handy function to glimse a vector of colors
- colorspace - click&drag interface for colors
- basic R color functions
- Built-in datasets
- Datasets within packages
- Packages to access open databases
- Packages to access restricted data
