class: center, middle, inverse, title-slide .title[ # Preparing R code for reproducible research ] .subtitle[ ## CES Skills Seminars ] .author[ ### José R. Ferrer-Paris ] .author[ ### (a.k.a. Jose Ferrer; JR) ] .date[ ### 2023-12-04 ] --- layout: true <div class="my-footer"><span>JR Ferrer-Paris / <a href='https://github.com/UNSW-codeRs/reproducible-R-code-for-research'>reproducible-R-code-for-research</a></span></div> <!-- this adds the link footer to all slides, depends on my-footer class in css--> <div> <style type="text/css">.xaringan-extra-logo { width: 110px; height: 128px; z-index: 0; background-image: 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); background-size: contain; background-repeat: no-repeat; position: absolute; top:1em;right:1em; } </style> <script>(function () { let tries = 0 function addLogo () { if (typeof slideshow === 'undefined') { tries += 1 if (tries < 10) { setTimeout(addLogo, 100) } } else { document.querySelectorAll('.remark-slide-content:not(.title-slide):not(.inverse):not(.hide_logo)') .forEach(function (slide) { const logo = document.createElement('div') logo.classList = 'xaringan-extra-logo' logo.href = null slide.appendChild(logo) }) } } document.addEventListener('DOMContentLoaded', addLogo) })()</script> </div> --- ## Reproducible research > Research is reproducible when others can reproduce the results of a scientific study given only the original data, code, and documentation ([Alston & Rick 2021](https://doi.org/10.1002/bes2.1801)) -- > Is one step towards replicability of your research ([Essawy et al. 2020](https://doi.org/10.1016/j.envsoft.2020.104753)) -- #### More important: > It helps to be **more efficient** and **mitigate common problems** in research (and your research life...) <!-- # commenting this out to go straight to the point --- --> <!-- .center[ --> <!-- One step towards replicability ([Essawy et al. 2020](https://doi.org/10.1016/j.envsoft.2020.104753)): ] --> <!-- <center> --> <!-- ```{r, echo=FALSE, out.width = "47%", out.height="47%"} --> <!-- grViz("../figs/replicable-research.dot") --> <!-- ``` --> <!-- </center> --> <!-- --- --> <!-- ## Reproducible code --> <!-- #### Expectations: --> <!-- > Can be run by **any user** with **any data** and in **any computer/environment**. --> <!-- -- --> <!-- #### More realistic: --> <!-- > Can be run by **a target user** with **well formatted data** and in **any reasonable computer/environment** by following **well documented instructions**. --> --- class: inverse center middle # Reproducible code makes your life*** easier .footnote[*** at least your research life] --- name: futureyou ## Meet your target user -- .pull-left[ <center><img src="https://i.etsystatic.com/10346065/r/il/8e851e/1446873591/il_794xN.1446873591_guys.jpg" alt="Do something today that your future self will Thank You for" height="400px" /></center> ] .pull-right[ - You ! - Your Future Self !! - Maybe others like - Your supervisor / team mates - Other students / researchers - Reviewers? / Future employers? ] --- ### Research lifecycle <center> <div class="grViz html-widget html-fill-item-overflow-hidden html-fill-item" id="htmlwidget-fe556dbc7395aaa2d6b5" style="width:70%;height:60%;"></div> <script type="application/json" data-for="htmlwidget-fe556dbc7395aaa2d6b5">{"x":{"diagram":"digraph G {\n \n node [shape=\"box\" width=2]\n subgraph cluster_res { \n label=\"Research Life Cycle\"\n subgraph cluster_steps {\n label=\"\"\n pencolor=transparent\n H [label=\"Hypothesis\" shape=\"ellipse\"]\n A [label=\"Sampling\\nor Experimental\\nDesign\"]\n orig_data [label=\"Data\"]\n orig_results [label=\"Results\"]\n orig_output [label=\"Outputs\"]\n subgraph cluster_code { \n bgcolor=\"lightblue\"\n label=\"Code\"\n labelloc=\"b\"\n xplr_code [label=\"Exploratory analysis\"]\n xpln_code [label=\"Explanatory analysis\"]\n dviz_code [label=\"Visualisation of results\"]\n }\n }\n { \n node [color=\"orange\" style=\"filled\" shape=\"egg\"]\n peer_review [label=\"Peer review\"]\n supervisor [label=\"Supervisor\"]\n collaborator [label=\"Collaborators\"]\n }\n }\n \n H -> A\n H -> xpln_code\n A -> orig_data -> xplr_code \n xplr_code -> H [style=\"dashed\"]\n xplr_code -> orig_results [style=\"dashed\"]\n orig_data -> xpln_code\n xpln_code -> orig_results\n orig_results -> {dviz_code; orig_output}\n \n supervisor -> H [style=\"dotted\"]\n supervisor -> xpln_code [style=\"dotted\"]\n // orig_results -> {collaborator,supervisor}\n collaborator -> orig_data [style=\"dotted\"]\n collaborator -> xplr_code [style=\"dotted\"]\n orig_output -> peer_review\n peer_review -> xpln_code [style=\"dotted\"]\n peer_review -> dviz_code [style=\"dotted\"]\n peer_review -> H [style=\"dotted\"]\n}","config":{"engine":"dot","options":null}},"evals":[],"jsHooks":[]}</script> </center> --- ### This usually means: .pull-left[ *You* will probably need to (re-)run *your* code each time... - your data changes: - new experiments/field work, - error fixes - your analysis changes: - new questions, hypothesis? - reviewer feedback - your outputs change, e.g.: - request from journal editors, - figures for presentations vs. publication ] .pull-right[ > **You** want your code to: > > - work with [new / modified data](#newdata) > > - be modular and flexible (add or change single steps) > > - be customizable (new colors, new plots, etc) ] --- ### Bonus benefits: Your reproducible code will help **other user** to run the analysis again: - with your data (or sample datasets) to verify it works - with their own data - with available data from another source Your reproducible code will help **other user** to : - combine steps of your analysis with their own steps, - explore alternative models, - customise outputs, - etc. --- class: inverse center middle # Reproducible code helps you in case of emergency --- name: portability ## "Runnability" (or Portability) .pull-left[ <iframe src="https://giphy.com/embed/xHKiX7icn98SA" width="480" height="320" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/xHKiX7icn98SA">via GIPHY</a></p> ] .pull-right[ Do you have **working** back-ups of all your data and code? ] --- .pull-left[ <blockquote class="twitter-tweet" data-lang="en" data-dnt="true" data-theme="light"><p lang="en" dir="ltr">When it’s time to go home but your code isn’t done running. <a href="https://twitter.com/hashtag/RStats?src=hash&amp;ref_src=twsrc%5Etfw">#RStats</a> <a href="https://t.co/cuhlQ8mKFF">pic.twitter.com/cuhlQ8mKFF</a></p>&mdash; Matt Cheng (@MLCheng3) <a href="https://twitter.com/MLCheng3/status/1452403381021020161?ref_src=twsrc%5Etfw">October 24, 2021</a></blockquote> ] .pull-right[ Can you ***take your code anywhere*** you want? ] --- ### Portability means: .pull-left[ *You* probably need to run *your* code: - at home and in the office (Laptop vs. Desktop) - remotely: in the Cloud or a HPC - after any hardware and software upgrades ] .pull-right[ > **You** want to document how your code: > > - works with specific operating systems + sofware versions > > - can be adapted to other OS + software versions > > - can be used as a template for alternative solutions ] --- ### Bonus benefits: Your reproducible and portable code will help **other user** to run the analysis again: - In completely different OS - Different hardware configurations - Different software combinations (older or newer versions) --- class: inverse center middle # Well documented code will make you famous*** .footnote[*** not really, but at least one step closer to fame...] --- layout: true ## Documentation <div class="my-footer"><span>JR Ferrer-Paris / <a href='https://github.com/UNSW-codeRs/reproducible-R-code-for-research'>reproducible-R-code-for-research</a></span></div> --- .pull-left[ <iframe src="https://giphy.com/embed/56ikf9jD4ZK6s" width="480" height="360" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/game-of-thrones-56ikf9jD4ZK6s">via GIPHY</a></p> ] .pull-right[ Add comments and notes to your code. Keep a good documentation for your future self! ] --- .pull-left[ - *You* often need to run *older* code - *You* might need to start new projects based on older projects - *You* might encounter the same problem(s) again and again ] .pull-left[ > You need to: > - Describe all steps as best as you can ! > - Explain: > - purpose, > - expected inputs and outputs, > - Include: > - requirements, > - assumed knowledge, > - software versions, etc ] --- <center> Are you sure your instructions are easy to understand and to follow? <iframe width="560" height="315" src="https://www.youtube.com/embed/cDA3_5982h8?start=12" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> </center> --- layout: true <div class="my-footer"><span>JR Ferrer-Paris / <a href='https://github.com/UNSW-codeRs/reproducible-R-code-for-research'>reproducible-R-code-for-research</a></span></div> --- ### Bonus benefits: .pull-left[ Your amazing documentation will help **other users** : - follow your analysis with minimal instructions - learn from your mistakes and clever solutions - reuse parts of your code for other purposes ***They will*** use and reuse your code, become your followers, cite your papers, fork your repos, ... ] .pull-right[ <iframe src="https://giphy.com/embed/UBVE6ZGaZDX7a" width="480" height="472" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/good-httyd-UBVE6ZGaZDX7a">via GIPHY</a></p> ] --- class: inverse center middle # My recommendations --- Make sure **your code**: - is readable - works with **new / modified data** - follows a clear structure or workflow - is modular and flexible - is customizable -- Make sure **your documentation** explains how the code: - works with specific operating systems + sofware versions - can be adapted to other OS + software versions - can be used as a template for alternative solutions -- Make sure **your documentation and code**: - work well together - have a clear purpose, inputs and outputs, - guide the target users from beginning to end --- class: inverse center middle # How? --- class: center, middle # Thanks! Slides created by JR Ferrer-Paris Member of <a href='https://unsw-coders.netlify.app'><img src = "https://unsw-coders.netlify.app/home/welcome_files/logo.png" height="80px" alt="Visit UNSW CodeRs website at unsw-coders.netlify.app"></a> Created with the R packages: [**xaringan**](https://github.com/yihui/xaringan) and [gadenbuie/xaringanthemer](https://github.com/gadenbuie/xaringanthemer) Presentation and workshop material at: [https://github.com/UNSW-codeRs/reproducible-R-code-for-research]