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Add Show notes and cleanup structure
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| --- | ||
| title: "Show Notes" | ||
| output: html_document | ||
| editor_options: | ||
| chunk_output_type: console | ||
| --- | ||
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| # Navigate R Studio and Setup Project | ||
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| * Open RStudio | ||
| * Create a new "New Project" in `~/work` | ||
| * If you use Git (you should) use "New Project" -> "Version Control" -> "Git". | ||
| * "File" -> "New Project" -> "New Directory" -> "New Project" -> "work/skc-workshop". Projects and data must be saved in `~/work` otherwise they will be lost. Use a good name such as "skc-workshop" | ||
| * Turn off saving `.RData` in workspace | ||
| * "Tools" -> "Global Options" -> "General" (already selected) -> "Basic" (already selected) -> Under "Workspace" turn off "Restore `.RData` …" and set "Save workspace to `.RData` …" to "Never" | ||
| * Create a new "R Markdown" File | ||
| * "File" -> "New File" -> "R Markdown" -> "Create Empty Document" (bottom left button). | ||
| * Save file (cmd-s for Mac, ctrl-s for Windows/Linux) and use a good name such as "R-Ecology-Workshop" (it will add the `.Rmd` extension) | ||
| * Write, Setup, and View RMarkdown | ||
| * Write title `# RStudio` | ||
| * "Settings (gear)" -> "Preview in Viewer Pane" | ||
| * "Settings (gear)" -> "Chunk Output in Console" | ||
| * Save file | ||
| * Knit (Knit to HTML) | ||
| * Optionally set "Knit on Save" - (runs entire notebook) | ||
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| Resources: | ||
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| * https://datacarpentry.org/R-ecology-lesson-alternative/introduction-r-rstudio.html |
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| # SKC Carpentries Workshop June 2024 | ||
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| ## Lessons | ||
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| Lessons (Day 1): | ||
| * https://datacarpentry.org/R-ecology-lesson-alternative/index.html | ||
| * https://datacarpentry.org/R-ecology-lesson-alternative/introduction-r-rstudio.html | ||
| * https://datacarpentry.org/R-ecology-lesson-alternative/visualizing-ggplot.html | ||
| * https://datacarpentry.org/R-ecology-lesson-alternative/how-r-thinks-about-data.html | ||
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| Lessons (Day 2): | ||
| * https://datacarpentry.org/R-ecology-lesson-alternative/working-with-data.html | ||
| * https://datacarpentry.org/R-ecology-lesson/05-r-and-databases.html | ||
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