# R/create.exponential.basis.R In fda: Functional Data Analysis

```create.exponential.basis <- function (rangeval=c(0,1), nbasis=NULL,
values=NULL, basisvalues=NULL, names='exp',
axes=NULL)
{

#  This function creates an exponential functional data basis
#  Arguments
#  RANGEVAL ... An array of length 2 containing the lower and upper
#               boundaries for the rangeval of argument values
#  NBASIS   ... The number of basis functions.  If this conflicts with
#               the length of RATEVEC, the latter is used.
#  RATEVEC  ... The rate parameters defining exp(ratevec[i]*x)
#  DROPIND  ... A vector of integers specifying the basis functions to
#               be dropped, if any.
#                points to be used in a fixed point quadrature.  The second
#                contains quadrature weights.  For example, for (Simpson"s
#                rule for (NQUAD = 7, the points are equally spaced and the
#                weights are delta.*[1, 4, 2, 4, 2, 4, 1]/3.  DELTA is the
#                spacing between quadrature points.  The default is
#                matrix("numeric",0,0).
#  VALUES  ... A list, with entries containing the values of
#                the basis function derivatives starting with 0 and
#                going up to the highest derivative needed.  The values
#                up to the user to decide whether or not to multiply
#                the derivative values by the square roots of the
#                quadrature weights so as to make numerical integration
#                a simple matrix multiplication.
#                Values are checked against QUADVALS to ensure the correct
#                number of rows, and against NBASIS to ensure the correct
#                number of columns.
#                The default value of is VALUES is vector("list",0).
#                VALUES contains values of basis functions and derivatives at
#                These values are only generated as required, and only if slot
#  BASISVALUES ... A vector of lists, allocated by code such as
#                vector("list",1).
#                This field is designed to avoid evaluation of a
#                basis system repeatedly at a set of argument values.
#                Each list within the vector corresponds to a specific set
#                of argument values, and must have at least two components,
#                which may be tagged as you wish.
#                The first component in an element of the list vector contains the
#                argument values.
#                The second component in an element of the list vector
#                contains a matrix of values of the basis functions evaluated
#                at the arguments in the first component.
#                The third and subsequent components, if present, contain
#                matrices of values their derivatives up to a maximum
#                derivative order.
#                Whenever function getbasismatrix is called, it checks
#                the first list in each row to see, first, if the number of
#                argument values corresponds to the size of the first dimension,
#                and if this test succeeds, checks that all of the argument
#                values match.  This takes time, of course, but is much
#                faster than re-evaluation of the basis system.  Even this
#                time can be avoided by direct retrieval of the desired
#                array.
#                For example, you might set up a vector of argument values
#                called "evalargs" along with a matrix of basis function
#                values for these argument values called "basismat".
#                You might want too use tags like "args" and "values",
#                respectively for these.  You would then assign them
#                to BASISVALUES with code such as
#                  basisobj\$basisvalues <- vector("list",1)
#                  basisobj\$basisvalues[[1]] <-
#                               list(args=evalargs, values=basismat)
#  Returns
#  BASISOBJ  ... a functional data basis object of type "expon"

#  Default basis for missing arguments
##
## 1.  Check RANGEVAL
##
if(!is.numeric(rangeval))
stop('rangaval must be numeric;  class(rangeval) = ',
class(rangeval) )
if(length(rangeval)<1)
stop('rangeval must be a numeric vector of length 2;  ',
'length(rangeval) = 0.')
if (length(rangeval) == 1) {
if( rangeval <= 0)
stop("rangeval a single value that is not positive:  ",
rangeval)
rangeval <- c(0,rangeval)
}
if(length(rangeval)>2)
stop('rangeval must be a vector of length 2;  ',
'length(rangeval) = ', length(rangeval))
if(diff(rangeval)<=0)
stop('rangeval must cover a positive range;  diff(rangeval) = ',
diff(rangeval) )
##
## 2.  check nbasis and ratevec
##
{
if(is.null(nbasis)){
if(is.null(ratevec)){
nbasis <- 2
ratevec <- 0:1
}
else {
nbasis <- length(ratevec)
if(nbasis<1)
stop('ratevec must have positive length;  length(ratevec) = 0')
if(!is.numeric(ratevec))
stop('ratevec must be numeric;  class(ratevec) = ',
class(ratevec) )
if(length(unique(ratevec)) != nbasis)
stop('ratevec contains duplicates;  not allowed.')
}
}
else {
if(is.null(ratevec))
ratevec <- 0:(nbasis-1)
else{
if(length(ratevec) != nbasis)
stop('length(ratevec) must equal nbasis;  length(ratevec) = ',
length(ratevec), ' != ', 'nbasis = ', nbasis)
if(length(unique(ratevec)) != nbasis)
stop('ratevec contains duplicates;  not allowed.')
}
}
}
##
## 3.  check DROPIND
##
if (length(dropind) > 0){
if(!is.numeric(dropind))
stop('dropind must be numeric;  is ', class(dropind))
doops <- which((dropind%%1)>0)
if(length(doops)>0)
stop('dropind must be integer;  element ', doops[1],
" = ", dropind[doops[1]], '; fractional part = ',
dropind[doops[1]] %%1)
#
doops0 <- which(dropind<=0)
if(length(doops0)>0)
stop('dropind must be positive integers;  element ',
doops0[1], ' = ', dropind[doops0[1]], ' is not.')
doops2 <- which(dropind>nbasis)
if(length(doops2)>0)
stop("dropind must not exceed nbasis = ", nbasis,
';  dropind[', doops2[1], '] = ', dropind[doops2[1]])
#
dropind <- sort(dropind)
if(length(dropind) > 1) {
if(min(diff(dropind)) == 0)
stop("Multiple index values in DROPIND.")
}
}
##
## 4.  set up the basis object
##
type        <- "expon"
params      <- as.vector(ratevec)

basisobj <- basisfd(type=type,     rangeval=rangeval, nbasis=nbasis,
values=values, basisvalues=basisvalues)
##
## 5.  names
##
{
if(length(names) == nbasis)
basisobj\$names <- names
else {
if(length(names)>1)
stop('length(names) = ', length(names), ';  must be either ',
'1 or nbasis = ', nbasis)
basisobj\$names <- paste(names, 0:(nbasis-1), sep="")
}
}
##
## 6.  Done
##
if(!is.null(axes))basisobj\$axes <- axes

basisobj

}
```

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fda documentation built on May 2, 2019, 5:12 p.m.