Data Visualization in R

Presented by Kevin Cabrera

Meeting Information: Sprague BASEMENT (take the elevator downstairs), Thursday 2pm - 4pm

This meeting will introduce basic concepts in R that will allow you to load, manipulate, and visualize data. R Packages of focus include those of the well-known Tidyverse, specifically ggplot2.

PRESENTATION (download the file and then open it your web browser)

Preparation for this meeting

1. Install R

• Go to the website R Project for Statistical Computing
• On the left side of the window, under Download, click on "CRAN"
• Choose the CRAN Mirror closest to your location
  • USA
    • University of California, Berkeley, CA
    • University of California, Los Angeles, CA
    • Anywhere is fine too, no big deal
• Download R for your operating system

2. Install RStudio

• Go to the website for RStudio downloads
• Scroll to the bottom of the page, to "Installers for Supported Platforms"
• Choose the download for your operating system

3. Install the packages for today

• In RStudio, copy and paste the following into your console:

install.packages(c("tidyverse", "ggplot2", "FactoMineR", "factoextra", "pheatmap", "gplots", "d3heatmap"))

• You may see the following messages but everything is OK!
  • package ‘FactoMineR’ was built under R version 3.5.2
  • Welcome! Related Books: `Practical Guide To Cluster Analysis in R` at https://goo.gl/13EFCZ
• Run library(package_name) for each of the above named packages and make it available in your current R session, like so:

library(tidyverse)

library(ggplot2)

4. Download the datasets

• Dataset 1 (cv4FULL-tpms.txt)
• Dataset 2 (DilPlate_smar13880.txt)