class: center, middle, inverse, title-slide # Dynamic Reports ## with R Markdown ### Basel R Bootcamp<br/><a href='https://therbootcamp.github.io'>www.therbootcamp.com</a><br/><a href='https://twitter.com/therbootcamp'><span class="citation">@therbootcamp</span></a> ### July 2018 --- layout: true <div class="my-footer"><span> <a href="https://therbootcamp.github.io/"><font color="#7E7E7E">BaselRBootcamp, July 2018</font></a> &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; &emsp;&emsp;&emsp;&emsp;&emsp; <a href="https://therbootcamp.github.io/"><font color="#7E7E7E">www.therbootcamp.com</font></a> </span></div> --- <br><br> > #How do you get your analyses into a final report? --- ##A typical Analysis -> Document workflow <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/unreproducible_workflow.png" style="display: block; margin: auto;" /> --- .pull-left5[ <br><br> ## What is wrong? Many opportunities for <high>human error</high> in transferring results. > Wait is the p-value .07 or 0.70? <high>No documentation</high> on exactly how the analysis was conducted. > How did I exactly do that analysis again?? <high>Slow</high> > You want me to do that analysis again with new data?! Do you know how long that took me?! ### The solution? A Dynamic Report ] .pull-right45[ <br><br><br><br><br><br> <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/unreproducible_workflow.png" style="display: block; margin: auto;" /> ] --- ## Dynamic report A <high>Dynamic Report</high> <u>automatically generates</u> output from a combination of data, code, images, and text. <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_ProcessHorizontal.png" style="display: block; margin: auto;" /> --- .pull-left55[ ## Why are dynamic reports great? <br> <high>Accurate</high> - Statistical output are never mistyped - The code *must* be correct because it is being run as the report is created. <high>Reproducible</high> - All processes are contained in code that anyone can see and run. - The code *must* be correct because it is evaluated as the report is created. - Original data is always connected to the final output <high>Efficient</high> - If you get new data, you can easily repeat your analyses with one click! ] .pull-right45[ <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_ProcessVertical.png" width="80%" style="display: block; margin: auto;" /> ] --- ## What dynamic reports can I make in R? .pull-left45[ <br><br> | | | |:------|:------| |Web (HTML) pages |[Websites from Markdown](http://rmarkdown.rstudio.com/rmarkdown_websites.html) | |PDF documents | [PDFs from Markdown](http://rmarkdown.rstudio.com/pdf_document_format.html) | |Slideshows | [Slide Ninja from xaringan!](https://github.com/yihui/xaringan) | |Shiny Apps | [https://shiny.rstudio.com/](https://shiny.rstudio.com/) | |Books | [bookdown.org](http://bookdown.org) | |R Packages | [Wickham package writing guide](http://r-pkgs.had.co.nz/) | ### Underneath everything... # R Markdown ] .pull-right45[ <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/RMarkdownOutputFormats.png" width="100%" style="display: block; margin: auto;" /> ] --- ## What is Markdown (.md)? Markdown is a simple, readable markup <high>language</high> that allows you to easily write text with special <high>formatting tags</high>, which are then converted to formatted outputs. <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_BasicMarkdown.png" width="90%" style="display: block; margin: auto;" /> --- ## What is RMarkdown (.Rmd)? <high>RMarkdown</high> is a combination of standard markdown combined with <high>R Code</high> <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_BasicRMarkdown.png" width="90%" style="display: block; margin: auto;" /> --- ## How do I write an R Markdown Document <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/openmarkdown.png" width="80%" style="display: block; margin: auto;" /> --- ## Code Chunks in R Markdown .pull-left4[ Incorporate code in your document in <high>code chunks</high> Everything in a code chunk will be evaluated when you "knit" the document Each chunk can have arguments |Argument| Description| |:-----|:------| |`eval` |Should the code be evaluated? | |`echo` |Should the code be shown? | |`fig.width, fig.height`| Figure sizes| See a list of all chunk options at Yihui's site [here](https://yihui.name/knitr/options/) ] .pull-right55[ <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/chunkoptions.png" width="90%" style="display: block; margin: auto;" /> ] --- # Inline chunks You can include *inline chunks* where R code is included in a sentence. This allows you to include R output in your text! <br> <br> <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/minichunk_ss_D.png" width="80%" style="display: block; margin: auto;" /> --- ## Inline chunks <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/minichunk_big_ss.png" width="100%" style="display: block; margin: auto;" /> --- .pull-left4[ <br><br> # Keep your project tidy! <br> 1. Easily read in external files like images, R code, or datasets in your R Markdown document. 2. All raw data files (.csv, .sav, etc) should be in a folder (e.g.; `1_Data`) in your R Project directory 3. Keep other files such as images (.jpg, .png) in another well named folder (e.g.; `0_Materials` or `4_Images`) <br><br> ] .pull-right55[ <br><br> <center><h3>Everything in your project!!</h3> <center><high>Every</high> file (data, images) necessary to create your RMarkdown document should be somewhere <high>in your R project folder</high>! <img src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/DynamicReports_ProjectStructure.png?raw=true" width="100%" style="display: block; margin: auto;" /> ] --- ## Your code must be complete! When you knit a Markdown file, R will <high>forget</high> everything you've done and <high>start from scratch</high> You must <high>load all packages</high> with `library()` and <high>define all objects</high> <img src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/DynamicReports_badknit.png?raw=true" width="95%" style="display: block; margin: auto;" /> --- ## Your code must be complete! When you knit a Markdown file, R will <high>forget</high> everything you've done and <high>start from scratch</high> You must <high>load all packages</high> with `library()` and <high>define all objects</high> <img src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/DynamicReports_goodknit.png?raw=true" width="95%" style="display: block; margin: auto;" /> --- ## Keep your code complete and tidy .pull-left45[ Don't include unnecessary code like random calculations or package installation. <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_BadMarkdown.png" width="100%" style="display: block; margin: auto;" /> ] .pull-right45[ If you want to save some code for you, comment it out with \# <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_GoodMarkdown.png" width="100%" style="display: block; margin: auto;" /> ] --- ## Rendering output with `knitr` .pull-left45[ <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/knitr_hex.png" width="30%" style="display: block; margin: auto;" /> Non-text ouputs such as images and tables need to be <u>rendered</u> using functions from the amazing <high>knitr</high> package. ```r # Load the knitr package library(knitr) ``` | Function|Output| |:------|:----| | `kable(df, format)`|Print a dataframe as a table| | `include_graphics(path)`| Include an image (e.g.; .png, .jpg)| ] .pull-right5[ Render a table with <high>kable()</high> ```r kable(x = baselers, # A data frame format = 'markdown') ``` | id|sex | age| height| weight| income| |--:|:------|---:|------:|------:|------:| | 1|male | 44| 174.3| 113.4| 6300| | 2|male | 65| 180.3| 75.2| 10900| | 3|female | 31| 168.3| 55.5| 5100| Render an image with <high>include_graphics()</high> ```r include_graphics(path = "images/rlogo.png") ``` <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/rlogo.png" width="30%" style="display: block; margin: auto;" /> ] --- ## Rendering output The `datatable()` function from the `DT` package will include a rich HTML table in your document. 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class=\"display\">\n <thead>\n <tr>\n <th> <\/th>\n <th>id<\/th>\n <th>sex<\/th>\n <th>age<\/th>\n <th>height<\/th>\n <th>weight<\/th>\n <th>income<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"pageLength":4,"columnDefs":[{"className":"dt-right","targets":[1,3,4,5,6]},{"orderable":false,"targets":0}],"order":[],"autoWidth":false,"orderClasses":false,"lengthMenu":[4,10,25,50,100]}},"evals":[],"jsHooks":[]}</script> --- ## Managing working directories with RMarkdown When you knit `Markdown.Rmd`, the working directory will be *changed to the location of* `Markdown.Rmd`. .pull-left45[ Situation 1: Markdown.Rmd is in the <high>same folder</high> as `*.Rproj` <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_SameFolder.png" width="70%" style="display: block; margin: auto;" /> ```r # Load data from 1_Data folder read_csv(file = "1_Data/baselers.csv") ``` Can read data normally because `Markdown.Rmd` is in the same folder as the project. ] .pull-right45[ Situation 2: Markdown.Rmd is in a <high>sub folder</high> (e.g.; `4_Markdown`) <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_SubFolder.png" width="70%" style="display: block; margin: auto;" /> ```r # Load data from 1_Data folder read_csv(file = "../1_Data/baselers.csv") ``` Must include `../` in your path to tell Markdown that the project directory is one folder 'up' ] --- ## Managing working directories with RMarkdown .pull-left45[ If your `MyMarkdown.Rmd` file is in a sub folder like `4_Markdown`... <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/DynamicReports_SubFolder.png" width="70%" style="display: block; margin: auto;" /> Include the following code <high>in the first chunk</high> to tell Markdown that the main project directory is <high>one folder "up"</high> ```r # Fix working directory issue knitr::opts_knit$set(root.dir = "../") ``` ] .pull-right5[ <br><br> Loading files <high>without</high> root directory fix ```r library(tidyverse) baselers <- read_csv("../1_Data/baselers.csv") chickens <- read_csv("../1_Data/chickens.csv") ``` Loading files <high>with</high> root directory fix <i>Recommended!</i> ```r # Fix working directory issue knitr::opts_knit$set(root.dir = "../") library(tidyverse) baselers <- read_csv("1_Data/baselers.csv") chickens <- read_csv("1_Data/chickens.csv") ``` ] --- .pull-left4[ <br><br> ## Output types There are *many* different output formats you can create from an R Markdown document Many come with RStudio, many are distributed in packages: | Package|Description| |:------|:----| | `xaringan`*| Slideshows (like this one!)| | `papaja`*|APA Manuscripts| | `rmdformats`|Many templates| | `prettydoc`|Many templates| `* = On GitHub ] .pull-right55[ <br> ### R Markdown templates in R Studio <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/rmarkdown_templates.png" width="100%" style="display: block; margin: auto;" /> ] --- ## R Markdown Gallery http://rmarkdown.rstudio.com/gallery.html <iframe src="rmarkdown_gallery.htm" width="800" height="450"></iframe> --- ## Why are dynamic documents so great? .pull-left6[ 1. <high>Tidy!</high> Data, code, and output are all in the same place. 2. Everything works and is <high>replicable</high>! 3. You can produce <high>great looking documents</high>, from simple PDFs, to webpages, to presentations (like this one!). 4. <high>Update your documents</high> with new data with just one line of code! <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/RMarkdownOutputFormats.png" width="50%" style="display: block; margin: auto;" /> ] .pull-right35[ <br> <center><a href="https://bookdown.org/yihui/rmarkdown/"><img src="https://bookdown.org/yihui/rmarkdown/images/cover.png" width="250"></a> [Yihui Xie's free R Markdown guide](https://bookdown.org/yihui/rmarkdown/) ] --- # Questions? # [Dynamic Reports Practical](https://therbootcamp.github.io/BaselRBootcamp_2018July/_sessions/DynamicReports/DynamicReports_practical.html) <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/minichunk_big_ss.png" width="80%" style="display: block; margin: auto;" /> --- # Additional Slides --- ## R Packages - The ultimate dynamic report? .pull-left55[ If you want a fully contained, dynamic report that contains data, code, statistics, plots, text, help files and documentation that you can easily share, your answer may be creating an **R Package**. #### Installing an example package from GitHub ```r library(devtools) # For the install_github function # Install DrugX_2018_Trial package from github install_github("bootcamp/DrugX_2018_Trial") # Load DrugX_2018_Trial package library("DrugX_2018_Trial") # Open DrugX_2018_Trial package help ?DrugX_2018_Trial ``` ] .pull-right4[ ### Package folder structure <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/phillips2017_package_ss.png" width="100%" style="display: block; margin: auto;" /> <br> Read Wickham's [book "R Packages"](http://r-pkgs.had.co.nz/) (available free at this link) to learn how to write your own package. ] --- ## To write to PDF, you need TeX .pull-left3[ RMarkdown uses LaTeX to create PDF files In order to knit your document to a PDF, you'll need a TeX installation on your machine. | OS | Link | |:---|:----| |Windows| MiKTeX [https://miktex.org/download](https://miktex.org/download) |Mac| MacTeX [http://www.tug.org/mactex/](http://www.tug.org/mactex/) ] .pull-right65[ <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/latex_collage.png" width="70%" style="display: block; margin: auto;" /> ] --- ## Code Chunks in R Markdown You can set default chunk options with `ops_chunk$set()`. When you do, all future chunks will have these settings (unless you specify otherwise) ```r # Example: Set default values for ALL future chunks # with knitr::ops_chunk$set knitr::opts_chunk$set(fig.width = 6, # Figure width (in) fig.height = 6, # Figure height (in) echo = TRUE, # Repeat code eval = TRUE, # Evaluate chunks message = FALSE, # Don't print messages warning = FALSE, # Don't print warnings fig.align = 'center') # Center figures ``` We recommend setting chunk options at the beginning of each document!