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R Course 2019

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

Software covered:

  • R (v3.5)
  • Rstudio

Instructors

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