Create your own hexagon in R

This is a super fast and easy way to create your first hexagon in R. Enjoy !!! # install.packages("hexSticker") library(hexSticker) ## Warning: package 'hexSticker' was built under R version 4.

How to add cover image to bookdown

<div style = "text-align: center"> ![](cover.jpg) </div> Alternatively, you can also use r block knitr::include_graphics('cover.jpg', dpi = NA)

Bookdown Statistics

It’s possible to have basic statistics from bookdown using connectapi (basic example). However, this feature is very limited. Hence, it is better to connect bookdown to Google Analytics to have better metrics.

How to connect bookdown with google analytics

Create Google Analytics account Choose “Analytics Accounts” Create “Properties & Apps” In “Data Streams”, “Add stream” with your website URL Under “Tagging Instructions”, click on gtag.js. You should see something like this: <!

Template for Shiny

New Template to get you produce cool Shiny App instantly flexdashboard install.packages("flexdashboard") library(flexdashboard)

CSS and SASS in Shiny

CSS = Cascading Style Sheets Selector Declaration To add CSS to Shiny: Add styling to tags Add CSS to HTML header Add style sheets with the www directory (most ideal) SASS = Systematically Awesome Style Sheets (built on top of CSS)

reproducible example (reprex)

install once per computer install.packages("reprex") or part of `tidyverse install.packages("tidyverse") You can either call it in every session library(reprex) or put it in .Rprofile for each machine to run whenever you open R

Scaling Shiny

To solve the problem of scaling: From DevOps/IT: Add memory, CPU Rstudio Connect set up for multiple machines From R/Shiny engineer: use Javascript for less CPU usage extract computations: Shiny worker, Plumber use a database

New Pipe in R

You can read more in Michael Barrowman’s post But the basic idea is that using the new pipe |> from the magrittr library is much faster than your old pipe %>%

Randomized Study Design

We can leverage R to create randomized studies using shinysurveys with learnr library("shinysurveys") library("learnr") ou can also use formr to create survey with R.