Pre-course instructions

Sara Mortara true (re.green | ¡liibre!) , Andrea Sánchez-Tapia https://andreasancheztapia.netlify.app (¡liibre!)true
2022-07-05

Before the course, we recommend to install R, Rstudio and git.

Install R

Go to the R page, choose a mirror (closest to where you are) and follow the instructions to install R accoding your Operating System

Install R Studio

For teaching purposes, we adopt in this course the editor RStudio. Download and install R Studio Desktop into your computer. If you are already familiar with R and want to use a different text editor, fell free to use it. However, all the examples and exercises during class will be using RStudio.

Install git and create a github page

Create a github page for you if you still don’t have it.

Install git in your computer.

Follow the following commands to set global user definitions.

git config --global user.name "Jane Doe"
git config --global user.email janedoe@mail.com

Install R packages

We will need the following R packages installed.

Open RStudio and run the command below in your R console.

packages <- c("tidyverse", "reshape2", "ggplot2", "lme4", "deSolve", "GillespieSSA", "GGally")
for (package in packages) {
  if (!package %in% installed.packages()) install.packages(package)
}

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".