Message-ID: <p06002000beae480825e9@[134.214.34.24]>
Date: 2005-05-16T13:12:59Z
From: Jean Thioulouse
Subject: Mental Block with PCA of multivariate time series!
In-Reply-To: <200505161020.j4GAKSFv012180@hypatia.math.ethz.ch>
Laura Quinn <laura at env.leeds.ac.uk> wrote:
>I am wishing to investigate the temporal evolution of the pca: if we
>assume that every 50 rows of my data frame is representitive of, for
>instance, 1 day of data, I am hoping to automate a process whereby a pca
>is performed on every 50 rows of data and the loading for PC1 and PC2 for
>each variable (i.e. each column) is represented as a point on a plot - so
>a years' data will be represented as two lines (representing PC1 and PC2)
>on a time series plot for each variable.
Hi Laura,
You might try to take a look at the "between", "within" and "pta" functions
of the ade4 package :
http://pbil.univ-lyon1.fr/ade4html/between.html
http://pbil.univ-lyon1.fr/ade4html/within.html
http://pbil.univ-lyon1.fr/ade4html/pta.html
They can be used to analyse a data set with this kind of structure. Choosing
how to analyse it depends on what you are looking for.
Jean
--
Jean Thioulouse - Labo de Biometrie et Biologie Evolutive, UMR CNRS 5558
Universite Lyon 1, 43 Boulevard du 11 Novembre 1918, Batiment G. Mendel
69622 Villeurbanne Cedex, France. Tel/Fax : (33) 4 72 43 27 56
http://pbil.univ-lyon1.fr/JTHome.html