juchiyu / multivarbook

Multivariate bookdown

MultivarBook

Updated: 11/17/2019

Goals

This book provides an introduction of simple and advanced multivariate analysis. The materials are inspired by the Advanced Research Method class by Dr. Hervé Abdi at the University of Texas at Dallas.

We are using ExPosition by Dr. Derek Beaton to run the analysis and functions in PTCA4CATA by Dr. Hervé Abdi to create plots from the results.

Materials

Bookdown: https://bookdown.org/yihui/bookdown/get-started.html

How to contribute?

1. Please check out the issues by clicking the tabs on the top of this github page and pick one to contribute.

• If you are not familiar with multivariate analysis:

  • You can reply to issue #1 and share with me what you are expecting to see if you are hoping to use PCA and are looking for a tutorial of it.

  • You can help me proof-read the descriptions of PCA and give feedbacks.

• If you are familiar with multivariate analysis:

  • You can reply to issue #2 and share with me what in general (or usually) are you looking for when you turn to a tutorial for help.

  • You can help us make images and add descriptions for them.

  • You can help us add instructions for how to use the functions to do the analysis.

2. You can fork the repository and work on the bookdown on your own github account.

3. When you are done, you can submit a pull request to integrate your work with the latest version.

Plan for this Brainhack:

Day 1

• 11:00 am - 12:30 pm:

  • Meet up

  • General discussion about the outline

  • Go through the materials I have on github

  • How we can do this

  • Find things you can work on

• 3:30 pm - 5:00 pm:

  • Meet new people

  • General discussion about the outline (if needed)

  • Work in two groups

    • People that are not familiar with PCA:

      • check the writing

      • give feedbacks on figures

      • other

    • People that are familiar with PCA:

      • Plots we want to show

      • Rmd script we want to show

Day 2

• 10:30 am - 12:30 pm:

  • Meet up

  • General discussion about progress on Day 1

  • Work in two groups

    • People that are not familiar with PCA:

      • give feedbacks on the explanations

      • (11:30 crash course for epPCA and PTCA4CATA)

    • People that are familiar with PCA:

      • Try to create plots and .rmd script that we want to show

• 1:30 pm - 2:45 pm:

  • Finalize what we are left with

• 2:45 pm - 3:00 pm:

  • Create presentation

multivarbook's Issues

What do you need if you are trying to refresh your memory with PCA?

What do you expect when you find a tutorial for PCA?

Please feel free to reply with ideas!

Add section about on PCA viewed/used as a data-reduction technique in the intro