bit.ly/rtopics

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Choose as many topics as you're interested in

write and debug complicated functions

manage NAs, merge data

export publication-ready graphics

visualize data - Exploratory Data Analysis (EDA)

distribution functions

aggregate time series (including changing charstrings to date/time objects)

R as GIS: read shapefile, plot + edit interactively, export as html (sf, terra, mapview, mapedit)

read and plot netcdf files (the standard of large spatio-temporal data)

use lapply like a pro (don't use for-loops in real life)

apply functions to arrays (elegant coding)

develop an R package

extreme value statistics

reproducible report generation with rmarkdown and knitr

use Rstudio effectively (keyboard shortcuts, rskey, project management, document outline, ...)

version control with Rstudio, git & github

write an interactive shiny app