Here, you can learn how to use tidyfood to do the data processing and analysis for the LC-MS metabolomics data. It contains several parts.
If you are new to R or the tidyverse
We recommend that you start by learning some basics about R and the tidyverse first, then return here when you feel ready. Here are some resources to start learning:
-
Finding Your Way To R, from the RStudio Education team.
-
Learn the tidyverse, from the tidyverse team.
Part 1. Install tidyfood
You can learn how to install tidyfood, and update it. You can also find here how to download the docker version of tidyfood and build your own docker image based on tidyfood.
Part 2. massdatabase package and mass_dataset class
You can find here how to download the demo data and create mass_dataset class by yourself. And how to use mass_dataset class organize your omics data and process it.