R Course 2019

R course made for the Red Sea Research Center (RSCR) of KAUST in January 2019. This course assumes no previous experience in programming.

Software covered:

• R (v3.5)
• Rstudio

Instructors

• Tamara Huete Stauffer [email protected]
• Grégoire Michoud [email protected]
• Daffne López-Sandoval [email protected]

Syllabus

Day 1: R Introduction

• Why R
• RStudio
• First steps
• R markdown
• Base plots
• Color

Day 2: Basic and Advanced Plots

• Scatterplots
• Boxplots
• Barplots
• ggplot2
• Labels
• Date-time conversions
• Exercise : Section plots

Day 3: Statistics

• T-test
• ANOVA
• Regressions
• Correlations

Day 4: Reproduceable workflow (example Diversity data)

• Sequencing depth
• Alpha diversity
• Beta diversity (NMDS and CCA)
• Relative abundance

Day 5. Useful packages

• Package marmap
• Package plot3D
• Package OCE
• Package tidyverse
• Package phyloseq