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r_workshop9 [2019/03/18 04:12]
mariehbrice
r_workshop9 [2019/06/25 16:44] (current)
mariehbrice
Line 14: Line 14:
 (Material in R script obtained from: Borcard, Gillet & Legendre (2011). //Numerical Ecology with R//. Springer New York.) (Material in R script obtained from: Borcard, Gillet & Legendre (2011). //Numerical Ecology with R//. Springer New York.)
  
-**Summary:​** In this workshop, you will learn the basics of multivariate analyses ​for your own data. You will learn to choose appropriate distance metrics and transformations ​for clustering, ​unconstrained ordinations,​ and to perform ​Principal Component Analysis, Correspondence Analysis, Principal Coordinate Analysis and Nonmetric ​MultiDimensional Scaling, to find patterns in your community composition data!+**Summary:​** In this workshop, you will learn the basics of multivariate analyses ​that will allow you to reveal patterns in your community composition ​data. You will first learn to choose appropriate distance metrics and transformations ​to then perform various multivariate analyses: ​clustering ​analysis, Principal Component Analysis ​(PCA), Correspondence Analysis ​(CA), Principal Coordinate Analysis ​(PCoA) ​and Non-Metric ​MultiDimensional Scaling ​(NMDS).
  
 **Link to new [[https://​qcbsrworkshops.github.io/​Workshops/​workshop09/​workshop09-en/​workshop09-en.html|Rmarkdown presentation]]** **Link to new [[https://​qcbsrworkshops.github.io/​Workshops/​workshop09/​workshop09-en/​workshop09-en.html|Rmarkdown presentation]]**