git4loek/git_examples.qmd at main · mlspatial/git4loek · GitHub

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# Repository examples on GitHub


## R package: CAST

[https://github.com/HannaMeyer/CAST](https://github.com/HannaMeyer/CAST)


In R, you can directly install the package from GitHub using the following commands:

```{r, eval = FALSE}
devtools::install_github(repo = "https://github.com/HannaMeyer/CAST")

remotes::install_github(repo = "https://github.com/HannaMeyer/CAST")
```

The `install.packages` function by default downloads and installs packages from [CRAN](https://cran.r-project.org/) which in itself is a repository for R packages and their version management.

```{r, eval = FALSE}
install.packages("CAST")
```


Package Page created with `pkgdown`: [https://hannameyer.github.io/CAST](https://hannameyer.github.io/CAST)


## Publishing workflows and code


[https://github.com/LOEK-RS/global_applicability](https://github.com/LOEK-RS/global_applicability)


## Teaching Materials


The materials for my Introduction to R Course are stored in a repository on GitHub:

```{r}
#| fig-column: margin
#| fig-width: 100
#| echo: false
knitr::include_graphics("https://teaching.mlspatial.org/analysis_of_ecological_data/assets/cover_image.png")
```


[https://github.com/mlspatial/analysis_of_ecological_data](https://github.com/mlspatial/analysis_of_ecological_data)

Through GitHub pages the repository is automatically rendered and published as a website:
[https://mlspatial.github.io/analysis_of_ecological_data](https://mlspatial.github.io/analysis_of_ecological_data)


You can also find the files of this git course and homepage on GitHub: