index.qmd

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# Learn R

::: {#atf}
A collection of learning resources for the R programming language. Generally
designed for the novice, these lessons assume little background knowledge with R
or programming in general. The majority of the lessons could be completed with
the basic R package, but I highly encourage the use of the RStudio development
environment, especially for novices. If you are new to R, you can find
installation details on the 
[installation and instruction page](000-setup-instructions.qmd).

:::

## Lessons

- [Your first plot in R](001-basic-graphing.qmd)
- [Stats in R: lightning intro](002-intro-stats.qmd)
- [Introduction to Multivariate Statistics in R](003-intro-multivariate.qmd)
- [Next level visualization with ggplot](004-intro-ggplot.qmd)
- [Dynamic reports with knitr](005-intro-knitr.qmd)
- [Heatmaps in R (with data wrangling!)](006-heatmaps.qmd)
- [Writing your own functions in R](007-intro-functional-programming.qmd)
- [Clusters and heatmaps in ggplot2](008-ggplot-dendrograms-and-heatmaps.qmd)
- [Heatmaps: the gene expression edition](009-expression-heatmaps.qmd)
- [*Aside*: Git and GitHub in RStudio](010-github.qmd)
- [A *very* brief introduction to species distribution models in R](011-species-distribution-models.qmd)
- [Easier data manipulation and visualization with the tidyverse](012-intro-tidyverse.qmd)
- [Introduction to summarizing and visualizing data for R novices](014-intro-summarizing-visualizing.qmd)
- [Interactive dashboards with Shiny](016-intro-shiny.qmd)
- [Mapping with Open Street Maps in R](017-open-street-map.qmd)
- [Machine learning in R part 1: regression](018-ml-regression.qmd)
- [Intro to Geospatial data in R](019-intro-geo.qmd)