Data Carpentry: R for data analysis and visualization of Ecological Data

This is a shorter version of DataCarpentry.org/R-ecology-lesson that prioritises the tidyverse over base-R topics (esp. factors) and includes the R-novice-gapminder's episode about knitr & RMarkdown.

Please find all other infos on GitHub.com/datacarpentry/R-ecology-lesson. In particular, if you like these lessons, cite it.

Name		Name	Last commit message	Last commit date
Latest commit History 1,180 Commits
.github		.github
docs		docs
favicon		favicon
img		img
.gitignore		.gitignore
.mailmap		.mailmap
.update-copyright.conf		.update-copyright.conf
00-before-we-start.Rmd		00-before-we-start.Rmd
01-intro-to-r.Rmd		01-intro-to-r.Rmd
02-starting-with-data.Rmd		02-starting-with-data.Rmd
03-dplyr.Rmd		03-dplyr.Rmd
04-visualization-ggplot2.Rmd		04-visualization-ggplot2.Rmd
05-knitr-markdown.Rmd		05-knitr-markdown.Rmd
AUTHORS		AUTHORS
CITATION.Rmd		CITATION.Rmd
CONTRIBUTING.Rmd		CONTRIBUTING.Rmd
DESCRIPTION		DESCRIPTION
LICENSE.Rmd		LICENSE.Rmd
Makefile		Makefile
NEWS.md		NEWS.md
R-ecology-lesson.Rproj		R-ecology-lesson.Rproj
README.md		README.md
_navbar.html		_navbar.html
_site.yml		_site.yml
check-spelling.R		check-spelling.R
footer.html		footer.html
header.html		header.html
index.Rmd		index.Rmd
instructor-notes.md		instructor-notes.md
needed_packages.R		needed_packages.R
reference.md		reference.md
setup.R		setup.R
style.css		style.css

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