pedrohbraga
commented
3 years ago Hi, Mi. Thank you for your commits and for the improvements you provided to this workshop. We will accept the pull-request and merge your branch with the main one. The presentation will then be rendered and deployed by an automated workflow (which can be followed here). Once this is done, we will go over the material and let you know about it!
Include learning objectives;
Slide 11 is a 'no-go': ignoring algebra does not help with understanding and appropriately using ordination techniques;
Slide 12 seems to be unnecessary;
Slide 15: the removal of rows with no data through data.x[-8, ] may cause confusion. A version appropriately dealing with that should be prioritized (e.g., which(is.na(data.x), arr.ind=TRUE), etc.)
Slide 23 has two h1 headers. Change Examples to just bold.
Change correlation plots to GGally::ggpairs() to improve visualization;
Slide 28: Use LaTeX instead of the figure to create the matrix;
Slide 31: Add equations for the distances and a short explanation;
Slides 32, 33 and 34: Combine slides into an incremental one, replace the figure by real code output (no need to display all associations);
Slide 36 (Challenge #1): Correct neighbor to neighbour and make the question clearer;
Slide 39: Generate figure using R;
Slide 40: Add acronyms to help the association between R options and the ones also available within books. Make the three first bullet points as a number list;
Slides 41 and 42: If possible, combine slides and improve the explanation. Figures should be displayed by code output;
Slide 43: Explanation must be improved. Figures should be generated by code;
Slides 44 and 45: Figures should be generated by code. Code showing how to generate the complete linkage clustering figure should be displayed;
Slides 47 and 48: Explanation must be improved. If possible, combine both slides;
Slide 52: Typo ç;