fda.usc (version 1.5.0)

dis.cos.cor: Proximities between functional data

Description

Computes the cosine correlation distance between two functional dataset.

Usage

dis.cos.cor(fdata1,fdata2=NULL,as.dis=FALSE)

Arguments

fdata1

Functional data 1 or curve 1.

fdata2

Functional data 2 or curve 2.

as.dis

Returns the distance matrix from class dist.

Value

Returns a proximities matrix between functional data.

Details

Computes the cosine correlation distance between two functional dataset of class fdata.

References

Kemmeren P, van Berkum NL, Vilo J, et al. (2002). Protein Interaction Verification and Functional Annotation by Integrated Analysis of Genome-Scale Data . Mol Cell. 2002 9(5):1133-43.

See Also

See also metric.lp and semimetric.NPFDA

Examples

# NOT RUN {
 r1<-rnorm(1001,sd=.01)
 r2<-rnorm(1001,sd=.01)
 x<-seq(0,2*pi,length=1001)
 fx<-fdata(sin(x)/sqrt(pi)+r1,x)
 dis.cos.cor(fx,fx)
 dis.cos.cor(c(fx,fx),as.dis=TRUE)
 fx0<-fdata(rep(0,length(x))+r2,x)
 plot(c(fx,fx0))
 dis.cos.cor(c(fx,fx0),as.dis=TRUE)
 
# }