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Update 01-intro.Rmd with code chunk names #91

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6 changes: 3 additions & 3 deletions 01-intro.Rmd
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Expand Up @@ -19,15 +19,15 @@ _This course is written for individuals who:_
- Have not had formal training in computational methods.
- Have limited or no familiar with GitHub, Docker, or package management tools.

```{r, fig.alt="Intro to Reproducibility: For individuals who: Have some familiarity with R or Python - have written some scripts. Have not had formal training in computational methods. Have limited or no familiarity with GitHub. Advanced Reproducibility: For individuals who: Have completed the intro course and/or Have used GitHub somewhat.", out.width = "100%", echo = FALSE}
```{r for_individuals_who, fig.alt="Intro to Reproducibility: For individuals who: Have some familiarity with R or Python - have written some scripts. Have not had formal training in computational methods. Have limited or no familiarity with GitHub. Advanced Reproducibility: For individuals who: Have completed the intro course and/or Have used GitHub somewhat.", out.width = "100%", echo = FALSE}
ottrpal::include_slide("https://docs.google.com/presentation/d/1LMurysUhCjZb7DVF6KS9QmJ5NBjwWVjRn40MS9f2noE/edit#slide=id.g106226cdd08_0_0")
```

## Topics covered:

This is a two part series:

```{r, fig.alt="Discussed in the Introductory Reproducibility in Cancer Informatics course: Organizing your project, using notebooks, Making your project open source with GitHub, using notebooks, managing package versions, writing durable code, documenting analyses, understanding the importance of code review. ", out.width = "100%", echo = FALSE}
```{r topics_covered, fig.alt="Discussed in the Introductory Reproducibility in Cancer Informatics course: Organizing your project, using notebooks, Making your project open source with GitHub, using notebooks, managing package versions, writing durable code, documenting analyses, understanding the importance of code review. ", out.width = "100%", echo = FALSE}
ottrpal::include_slide("https://docs.google.com/presentation/d/1LMurysUhCjZb7DVF6KS9QmJ5NBjwWVjRn40MS9f2noE/edit#slide=id.g106742f3b7b_0_168")
```

Expand All @@ -47,7 +47,7 @@ Equipping researchers with the skills to create reproducible data analyses incre

This course introduces the concepts of reproducibility and replicability in the context of cancer informatics. It uses hands-on exercises to demonstrate in practical terms how to increase the reproducibility of data analyses. The course also introduces tools relevant to reproducibility including analysis notebooks, package managers, git and GitHub.

```{r, fig.alt = "This course will demonstrate how to: Understanding why usability and documentation is vital, Identifying your user community, Building documentation and tutorials to maximize the usability of developed tools, Obtaining feedback from your users", echo = FALSE}
```{r learning_objectives, fig.alt = "This course will demonstrate how to: Understanding why usability and documentation is vital, Identifying your user community, Building documentation and tutorials to maximize the usability of developed tools, Obtaining feedback from your users", echo = FALSE}
ottrpal::include_slide("https://docs.google.com/presentation/d/1LMurysUhCjZb7DVF6KS9QmJ5NBjwWVjRn40MS9f2noE/edit#slide=id.gd422c5de97_0_10")
```

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