tutorial for Data Science Triad: GitHub, RMarkdown, Travis-CI

rstudio

Watch: - RStudio IDE, Part I

Read: readings/setup.md - Prerequisites - Running R code - RStudio Cheat sheet (for reference)

rmarkdown

Watch:

Read:

git

Watch:

DataCamp Lesson: RStudio IDE, Part II, Chapter 2: Version Control (by Garrett Grolemund).

vis.1

Watch:

(Yes, we’re starting with Chapter 2, we’ll go back to Chapter 1 soon).

Read:

dplyr-1

  • visualization basics ggplot2

packages: ggplot2, tidyr::gather, readr

  • (?) Dates & Times, r4ds 16

  • Data Visualization r4ds-3

  • Tibbles r4ds-10

  • Data Import, r4ds-11

  • Tidy Data, r4ds-12

fish

fish.1

Watch: - Tidyverse Chapter 1 David Robinson

Read:

  • Data Transformation, r4ds-5, (dplyr functions select, fliter, arrange, mutate)

fish.2

Watch: - [Tidyverse ch]

Read: - Relational data, r4ds-13 (dplyr group_by, summarise, and *_join)

simulation

topic: R functions datacamp: - Writing Functions in R, Hadley Wickham r4ds: 18,19,20,21

sim.1

Watch: - Chapter 1: Basics Read: - Functions, r4ds-19

sim.2

Watch: - Chapter 2: When and How to write a function Read:

sim.3

Watch: - Chapter 3: purrr Read: - Iteration, r4ds-21

Writing R packages

Watch: - Packages in RStudio RStudio IDE, Part II, Chapter 1, Garrett Grolemund

Read: - intro - package structure

geospatial

sf, raster, mapview

spatial.1

Watch: -

Read: -

spatial.2

Watch: - Read: -

spatial.3

Watch: - Read: -

spatial.4

Watch: - Read: -

GeoCompR

extinctions

extinctions.1

Watch: - Read: -

extinctions.2

  • Strings, r4ds-14

purrr, httr, jsonlite, stringr

extinctions.3

linked-data

ld.1

Watch:

-

Read: - -

Tutorials

Later Tutorial supplements:

DataCamp Syllabus