Useful R packages

Data handling

Packages:

The tidyverse packages:

loading Excel data with readxl

loading data with readr package

data handling with dplyr package

… and more in the the tidyverse package

Statistical analyses

• Variable distributions (visual example)

• Linear model with normally distributed residuals:

  • ‘lm’ r documentation

  • Tutorial

• Linear model with other residuals distribution:

  • glm’ r documentation

  • tutorial 1

  • tutorial 2

• Non-linear models:

  • by transforming your data: log, polynomial … tutorial

  • by using the nls() function: tutorial

  • (by building your own fitting and optimization functions and using a solver: tutorial)

• General additive model: a great tutorial

• Mixed effect models (using lm4):

  • tutorial 1

  • tutorial 2

  • tutorial 3

  • package vignette

  • nice visualization to understand the process behind Mixed-effect models

• Structural Equation Modeling:

  • the Bible for SEM: Jon Lefcheck book

  • tutorial

• Spatio-temporal analyses with R:

  • The Bible for Spatio-temporal modeling: book (pdf)

  • Dealing with temporal auto-correlation in R: tutorial

• Bayesian statistics:

  • an introduction

  • lecture using Stan

  • paper

Model quality

“performance” package

• package

• tutorial

“Metrica” package (package)

Extracting results

“ggeffect” package to extract model estimates (package)

Plotting results

• ggplot make your life easy and pretty

  • package

  • Tutorial 1

  • Tutorial 2

• ggpubr an Add-On to ggplot2:

  • package

  • ggarrage to combine plots from ggplot

• Gantt charts with granttrify package (demo)