ml4ec - Machine Learning for Eddy Covariance data
2022-09-15
Chapter 1 Set up
1.1 Apps
For this workshop, you need R and RStudio. Follow the links for downloading and installing these apps.
1.2 Libraries
Install missing packages for this tutorial.
<- c("caret", "recipes", "rsample", "tidyverse", "conflicted", "modelr", "forcats", "yardstick", "visdat", "skimr", "ranger", "knitr", "patchwork", "hexbin")
list_pkgs <- list_pkgs[!(list_pkgs %in% installed.packages()[, "Package"])]
new_pkgs if (length(new_pkgs) > 0) install.packages(new_pkgs)
This book was compiled with the bookdown library and source files (RMarkdown), available on Github. Navigate there also for working on the exercises (Chapter 7) and using the solutions (Chapter 8).
This book is published under a GNU-GPL v3 license. Please cite this as:
Benjamin Stocker. (2021). ml4ec_workshop: v1: Initial version (v1.0). Zenodo. https://doi.org/10.5281/zenodo.5521563