mean.fd {fda} | R Documentation |
Mean of Functional Data
Description
Evaluate the mean of a set of functions in a functional data object.
Usage
## S3 method for class 'fd'
mean(x, ...)
Arguments
x |
a functional data object. |
... |
Other arguments to match the generic function for 'mean' |
Value
a functional data object with a single replication
that contains the mean of the functions in the object fd
.
References
Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.
See Also
stddev.fd
,
var.fd
,
sum.fd
,
center.fd
mean
Examples
oldpar <- par(no.readonly=TRUE)
##
## 1. univeriate: lip motion
##
liptime <- seq(0,1,.02)
liprange <- c(0,1)
# ------------- create the fd object -----------------
# use 31 order 6 splines so we can look at acceleration
nbasis <- 51
norder <- 6
lipbasis <- create.bspline.basis(liprange, nbasis, norder)
# ------------ apply some light smoothing to this object -------
lipLfdobj <- int2Lfd(4)
lipLambda <- 1e-12
lipfdPar <- fdPar(fd(matrix(0,nbasis,1),lipbasis), lipLfdobj, lipLambda)
lipfd <- smooth.basis(liptime, lip, lipfdPar)$fd
names(lipfd$fdnames) = c("Normalized time", "Replications", "mm")
lipmeanfd <- mean.fd(lipfd)
plot(lipmeanfd)
##
## 2. Trivariate: CanadianWeather
##
dayrng <- c(0, 365)
nbasis <- 51
norder <- 6
weatherBasis <- create.fourier.basis(dayrng, nbasis)
weather.fd <- smooth.basis(day.5, CanadianWeather$dailyAv,
weatherBasis)$fd
str(weather.fd.mean <- mean.fd(weather.fd))
par(oldpar)
[Package fda version 6.1.8 Index]