usefulr

A collection of useful web links for R by Shinichi (TODO!)

Table of contents

1. General

   1. Books
   2. University Courses

2. Specfics

   1. Graphics
   2. Stats
   3. R Markdown
   4. R Studio
   5. Others

General

Books

R for Data Science and Solutions

http://r4ds.had.co.nz/exploratory-data-analysis.html

https://jrnold.github.io/r4ds-exercise-solutions/

Cookbook for R

http://www.cookbook-r.com/

University Courses

UBC STATS 545A and 547M

A great course at the University of British Colmbia: http://stat545.com/.

EEB313: Quantitative Methods in R for Biology

Another grat course at the University of Toronto: https://uoftcoders.github.io/rcourse/index.html

Specifics

Graphics

multiple ggplots

https://cran.r-project.org/web/packages/egg/vignettes/Ecosystem.html

http://www.sthda.com/english/articles/24-ggpubr-publication-ready-plots/81-ggplot2-easy-way-to-mix-multiple-graphs-on-the-same-page/

http://www.cookbook-r.com/Graphs/Multiple_graphs_on_one_page_(ggplot2)/

No legends for ggplots

https://stackoverflow.com/questions/35618260/remove-legend-ggplot-2-2

e.g. -- 'plot + theme(legend.position="none")'

Bubble ggplots

http://t-redactyl.io/blog/2016/02/creating-plots-in-r-using-ggplot2-part-6-weighted-scatterplots.html

Dot and whister plots with ggplots + more

Great to way to visualise regression results

https://cran.r-project.org/web/packages/dotwhisker/vignettes/dotwhisker-vignette.html

How to visualise residuals

https://drsimonj.svbtle.com/visualising-residuals

Getting ggplot2 legends right

http://www.sthda.com/english/wiki/ggplot2-legend-easy-steps-to-change-the-position-and-the-appearance-of-a-graph-legend-in-r-software

Stats

How to count missing data (or NA)

A great pot to get both colunm-wise and row-wise NAcounts

https://sebastiansauer.github.io/sum-isna/

R Markdown

Pimping up RMD

https://holtzy.github.io/Pimp-my-rmd/

R Markdown Themes

http://www.datadreaming.org/post/r-markdown-theme-gallery/

The former "pimping up" includes RMD theme section too

How to cite with Zotero etc

https://ikashnitsky.github.io/2019/zotero/

https://www.janfreyberg.com/blog/2017-05-27-workflow-papers-rmarkdown/

http://tc.rbind.io/post/2017/07/07/citing-in-rmarkdown-using-zotero/

R Studio

R Studio Addins

https://cran.r-project.org/web/packages/addinslist/README.html

https://www.rstudio.com/resources/webinars/understanding-add-ins/

R Studio shortcuts

This is amazing - go back and read again

https://appsilon.com/r-studio-shortcuts-and-tips/

Others

Stats tricks: how to get error (variance)

https://en.wikipedia.org/wiki/Propagation_of_uncertainty

https://en.wikipedia.org/wiki/Delta_method

https://en.wikipedia.org/wiki/Taylor_expansions_for_the_moments_of_functions_of_random_variables