Correlation for functional data by Principal Component Analysis
Summary of functional principal components
## S3 method for class 'fdata.comp' summary(object, biplot = TRUE, ...)
object |
fdata.comp class object calculated by: |
biplot |
=TRUE draw the biplot and PC (or PLS) components. |
... |
Further arguments passed to or from other methods. |
If corplot=TRUE, are displaying the biplot between the PC (or PLS) components.
If ask=TRUE, draw each graph in a window, waiting to confirm the change
of page with a click of the mouse or pressing ENTER. If ask=FALSE draw graphs in one window.
Manuel Febrero-Bande and Manuel Oviedo de la Fuente manuel.oviedo@usc.es
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S Language. Wadsworth \& Brooks/Cole.
Venables, W. N. and B. D. Ripley (2002). Modern Applied Statistics with S. Springer-Verlag.
## Not run: n <- 200 tt <- seq(0,1,len=101) x0 <- rproc2fdata(n,tt,sigma="wiener") x1 <- rproc2fdata(n,tt,sigma=0.1) x <- x0*3+x1 beta <- tt*sin(2*pi*tt)^2 fbeta <- fdata(beta,tt) y <- inprod.fdata(x,fbeta) + rnorm(n,sd=0.1) pc1 <- fdata2pc(x,3) summary(pc1) pls1 <- fdata2pls(x,y) summary(pls1) ## End(Not run)
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