0.1 Things to add

Signe recommended students run a live tutorial in swirl

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0.2 Documentation for Author

0.3 Andrew’s Resources

These resources are not relevant for students but they are to me.

0.3.1 Styling your docx template

0.4 Andrew’s Notes / Ramblings

  • It might be easier to consider making this a website. There’s a really nice example using Hugo which would allow me to embed presentations. I’m not sure how I feel about it. I really like Google Slides because they are so easy to create but it might be a way to embed YouTube videos along with presentations and learnR modules all in one place. I have it forked on my GitHub

To render the book used the following code, you must do this before knitting the GitBook (webpage)

bookdown::render_book("index.Rmd", "bookdown::gitbook")
bookdown::render_book("index.Rmd", "bookdown::pdf_book", encoding="UTF-8")
bookdown::render_book("index.Rmd", "bookdown::epub_book")

# after previewing the book 
#Which is done by running these lines


# To stop the process run (or you can restart your session)

The _output.yml contains the header arguments. I would but them here so its cleaner and easier to read the code.

0.5 To Do

  • Is there a way I can have matlab code syntax highlighted properly? Maybe here

  • Make a logo

  • Get Camera to take nice pictures

  • Create example datasets that I can run through

  • Can I export this to The GitHub Repository for this guidebook can be found here

  • Add highlight arg to _output.yml

  • There should be a section on general access to your df. How to manipulate it effectively (perhaps in the data wrangling section) This would include things like using df$colname to access a column

  • Implement Open Review which will allow people to make comments. An example can be seen here

  • Finish my changes

  • Push my commits to GitHub

  • Open a pull request

  • Cleaned the main directory to make it easier to interpret for beginners

  • Look into adding content from both the Workshop and Data Battles there is useful slides in both. In DataBattles I show a breakdown of functions which might be useful for new users.

  • I also have content from a mixed model workshop I hosted (the one Ashley asked me to run)

For Chapter @ref(#data-wrangling)

  • steal logo from here. It would be great to have a logo here that was cowboy themed
  • These animations would be great at explaining some key concepts

0.6 Title word cloud

Titles: inquiry-based R for researchers in a hurry Reproducible science. Reproducible science for the busy researcher.

0.7 Copy from Chapter 1 Example

You can label chapter and section titles using {#label} after them, e.g., we can reference Chapter \@ref(intro). If you do not manually label them, there will be automatic labels anyway, e.g., Chapter \@ref(methods).

Figures and tables with captions will be placed in figure and table environments, respectively.

par(mar = c(4, 4, .1, .1))
plot(pressure, type = 'b', pch = 19)

Reference a figure by its code chunk label with the fig: prefix, e.g., see Figure \@ref(fig:nice-fig). Similarly, you can reference tables generated from knitr::kable(), e.g., see Table \@ref(tab:nice-tab).

  head(iris, 20), caption = 'Here is a nice table!',
  booktabs = TRUE

You can write citations, too. For example, we are using the bookdown package in this sample book, which was built on top of R Markdown and knitr .

0.8 MATLAB Highlighting

% This is a comment in MATLAB
function y = average(x)
if ~isvector(x)
   error('Input must be a vector')
y = sum(x)/length(x); 

So could this

0.9 CSS / Templates

In the terminal I ran

git config –global ‘alapo’ git config –global ‘

git config –global ‘Jane Doe’ git config –global ‘

0.10 Teaching RStudio

learnr guide

I created this course to work backwards from traditional methods.

Students will learn the basics of RMarkdown first and then learn how to insert chunks within it. I do this for a few reasons

  1. They are able to see the end result immediately
  2. Most students are going to be using another program while taking this course, so its a start
  3. We can use static images and datasets to insert figures and tables into our RMarkdown document

0.11 Misc code/data

    gitbook(fig_caption = TRUE, number_sections = TRUE, self_contained = FALSE, 
       lib_dir = "libs", pandoc_args = NULL, ..., template = "default", 
       split_by = c("chapter", "chapter+number", "section", "section+number", 
           "rmd", "none"), split_bib = TRUE, config = list(), table_css = TRUE)

0.12 Other Resources

Book called Just Enough R

An example on how to use GitHub with student projects. Really nice breakdown that is worth a read.

Allison Horst on Twitter has some amazing images that I may want to use

This is a course outline similar to what I want