• Code for Her workshop on LaTex, 2020-02-26 6-8p, Paterno 103, Mann Assembly Room
• Data Science Community meeting 2020-02-28, 10a, Pattee Library Collaboration Commons
• Institute for Computational and Data Science (ICDS) events
• “The Data Deluge”, ICDS Symposium, March 16-17, 2020, NLI.

• Websites with R Markdown
• Slides with R Markdown
• (Optional) Doing useful things en masse

• Easy-peasy
• Edit in R Markdown, render to HTML
• Rapid (re)deployment

• _site.yml
• index.Rmd
• other_pages.Rmd

• Build the site
• Render
• View
• Edit
• Rebuild, re-render, view, edit, etc.

• Commit and push
• Pull from dev branch (if you’re using one)
• Enable GitHub pages on repo (if not already done)

• Bask in the glow…

• Local or GitHub?
• If local, make new local folder
• Create site
• Render
• View index.html

• Easy to make, edit, version-control, share
• Slides as webpages \(\rightarrow\) present from a browser
• Share in public GitHub repo \(\rightarrow\) present from any computer anywhere

• Incorporate R code (rerender figures, etc.)
• Incorporate live links to external resources (video, web pages, etc.)
• Possibility of reusing other R Markdown docs

• Not always the prettiest (unless you customize)
• Sometimes hard to export as PDF
• Web resources disappear, end up behind paywalls

• YAML header
• Slides
  • With title text
  • Without title text/header

• ioslides_presentation (HTML)
• slidy_presentation (HTML)
• beamer_presentation (PDF)
  • requires LaTex or (install.packages("tinytex"))
• powerpoint_presentation (PPTX)
  • requires MS Powerpoint

• revealjs::revealjs_presentation (HTML)
  • install.packages("revealjs")
• xaringen (HTML)
  • install.packages("xaringen")

• ioslides_presentation
• slidy_presentation
• beamer_presentation
• powerpoint_presentation
• revealjs::revealjs_presentation

• ioslides: https://bookdown.org/yihui/rmarkdown/ioslides-presentation.html
• slidy: https://bookdown.org/yihui/rmarkdown/slidy-presentation.html
• beamer: https://bookdown.org/yihui/rmarkdown/beamer-presentation.html

• powerpoint: https://bookdown.org/yihui/rmarkdown/powerpoint-presentation.html
• revealjs: https://bookdown.org/yihui/rmarkdown/revealjs.html

• Add custom HTML
• Tweak the CSS

• File/New File/R Markdown…/Presentation/
• Examine the YAML header
• Try a customization

• how_to/reports-with-parameters.html

• how_to/embed-rmarkdown-docs.html

• If you repeat the same thing 2-3x…consider automating

https://github.com/gilmore-lab/sex-differences-in-motion-perception

This talk was produced on 2020-02-27 in RStudio using R Markdown. The code and materials used to generate the slides may be found at https://github.com/psu-psychology/psy-525-reproducible-research-2020. Information about the R Session that produced the code is as follows:

## R version 3.6.2 (2019-12-12)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS Mojave 10.14.6
## 
## Matrix products: default
## BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets 
## [6] methods   base     
## 
## other attached packages:
## [1] lme4_1.1-21     Matrix_1.2-18   gapminder_0.3.0
## [4] dplyr_0.8.4     ggplot2_3.2.1  
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.3         nloptr_1.2.1      
##  [3] plyr_1.8.5         pillar_1.4.3      
##  [5] compiler_3.6.2     tools_3.6.2       
##  [7] boot_1.3-23        digest_0.6.25     
##  [9] packrat_0.5.0      nlme_3.1-142      
## [11] lattice_0.20-38    evaluate_0.14     
## [13] lifecycle_0.1.0    tibble_2.1.3      
## [15] gtable_0.3.0       pkgconfig_2.0.3   
## [17] rlang_0.4.4        yaml_2.2.1        
## [19] xfun_0.12          withr_2.1.2       
## [21] stringr_1.4.0      knitr_1.28        
## [23] grid_3.6.2         tidyselect_1.0.0  
## [25] tufte_0.5          glue_1.3.1        
## [27] R6_2.4.1           databraryapi_0.1.9
## [29] rmarkdown_2.1      minqa_1.2.4       
## [31] purrr_0.3.3        farver_2.0.3      
## [33] reshape2_1.4.3     magrittr_1.5      
## [35] MASS_7.3-51.5      splines_3.6.2     
## [37] scales_1.1.0       htmltools_0.4.0   
## [39] assertthat_0.2.1   colorspace_1.4-1  
## [41] labeling_0.3       stringi_1.4.6     
## [43] lazyeval_0.2.2     munsell_0.5.0     
## [45] crayon_1.3.4