Hands-On Session

• Install R and RStudio.

  • The carpentries have installation instructions at https://carpentries.github.io/workshop-template/install_instructions/#r

  • or alternatively at: https://datacarpentry.github.io/R-ecology-lesson/instructor/index.html#setup

• In R, install packages:

install.packages(c("ggplot2", "dplyr", "tidyr"))

optionally, also install:

install.packages(c("plotly", "see", "ggbreak")

• If you wish to brush up your R (and RStudio), 

  • The Data Carpentry “Ecology” lesson is a good short tutorial also discussing RStudio

  • The Software Carpentry “Gapminder” lesson offers more detail about R

• Install python (>= 3.9), e.g. via conda-forge including JupyterLab

  • The carpentries have installation instructions at: https://carpentries.github.io/workshop-template/install_instructions/#python

  •  Install packages:

    • you can use the environment file of the carpentries as in the above installation instructions

    • otherwise, make sure the following packages are available:

      • ipykernel

      • jupyter

      • jupyterlab

      • numpy

      • pandas

      • matplotlib

      • plotnine

• If you wish to brush up your python (and jupyterlab), 

  • The Data Carpentry “Ecology” lesson is a good tutorial

  • The Software Carpentry “Gapminder” lesson offers more detail about python
    (but plots with matplotlib rather than the plotnine we will be using)

• Download version 24.8.5 from: https://www.libreoffice.org/download

  • There are portable formats (which do not need admin rights for installation) available on the right side for Windows and Linux.

  • When downloading the normal (non-portable) desktop version, please use version 24.8.5 (previous stable), since for 25.2.1 (current stable), portable versions are not yet available.

• Installation instructions: https://www.libreoffice.org/get-help/install-howto/

• We will use LibreOffice, but if you prefer, you may use Excel as well.