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en:tbpca_r [2018/03/28 23:20]
David Zelený created
en:tbpca_r [2018/03/28 23:24]
David Zelený [Transformation-based principal component analysis (tb-PCA)]
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 [[{|width: 7em; background-color:​ white; color: navy}tbpca_examples|Examples]] [[{|width: 7em; background-color:​ white; color: navy}tbpca_examples|Examples]]
 [[{|width: 7em; background-color:​ white; color: navy}tbpca_exercise|Exercise {{::​lock-icon.png?​nolink|}}]] [[{|width: 7em; background-color:​ white; color: navy}tbpca_exercise|Exercise {{::​lock-icon.png?​nolink|}}]]
 +
 +==== R functions ====
 +
 +There is no specialized R function to calculate tb-PCA; the way is to 1) transform the compositional data (using Hellinger or chor transformation),​ and then 2) apply PCA on them. Transformation can be done using ''​decostand''​ from ''​vegan'', ​ and PCA can be calculated by e.g. ''​rda''​ function, also from ''​vegan''​.
en/tbpca_r.txt · Last modified: 2018/03/28 23:24 by David Zelený