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Evaluate a positive functional data object at specified argument values, or evaluate a derivative of the functional object.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: eval.posfd, fitted.posfd, predict.posfd, residuals.posfd
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Functional parameter objects are used as arguments to functions that estimate functional parameters, such as smoothing functions like smooth.basis. A functional parameter object is a functional data object with additional slots specifying a roughness penalty, a smoothing parameter and whether or not the functional parameter is to be estimated or held fixed. Functional parameter objects are used as arguments to functions that estimate functional parameters.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: fdPar
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Principal differential analysis (PDA) estimates a system of n linear differential equations that define functions that fit the data and their derivatives. There is an equation in the system for each variable.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: pda.fd
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Computes the matrix of inner products when both functions are represented by B-spline expansions and when both derivatives are integers. This function is called by function inprod, and is not normally used directly.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: inprod.bspline
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Copy a file appending a number to make the to name unique, with default to = from.
● Data Source:
CranContrib
● Keywords: IO
● Alias: file.copy2
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Functional parameter objects are used as arguments to functions that estimate functional parameters, such as smoothing functions like smooth.basis. A bivariate functional parameter object supplies the analogous information required for smoothing bivariate data using a bivariate functional data object $x(s,t)$. The arguments are the same as those for fdPar objects, except that two linear differential operator objects and two smoothing parameters must be applied, each pair corresponding to one of the arguments $s$ and $t$ of the bivariate functional data object.
● Data Source:
CranContrib
● Keywords: bivariate smooth
● Alias: bifdPar
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Translate a spline object of another class into the Functional Data (class fd) format.
● Data Source:
CranContrib
● Keywords: manip, smooth
● Alias: as.fd, as.fd.fdSmooth, as.fd.function, as.fd.smooth.spline
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fd
(Package: fda) :
This is the constructor function for objects of the fd class. Each function that sets up an object of this class must call this function. This includes functions Data2fd, smooth.basis, density.fd, and so forth that estimate functional data objects that smooth or otherwise represent data. Ordinarily, users of the functional data analysis software will not need to call this function directly, but these notes are valuable to understanding the components of a list of class fd.
● Data Source:
CranContrib
● Keywords: internal, smooth
● Alias: [.fd, fd
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as.POSIXct.numeric requires orgin to be specified. This assumes that is the start of 1970.
● Data Source:
CranContrib
● Keywords: manip
● Alias: as.POSIXct1970
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Computes a matrix of inner products for each pairing of a replicate for the first argument with a replicate for the second argument. This is perhaps the most important function in the functional data library. Hardly any analysis fails to use inner products in some way, and many employ multiple inner products. While in certain cases these may be computed exactly, this is a more general function that approximates the inner product approximately when required. The inner product is defined by two derivatives or linear differential operators that are applied to the first two arguments. The range used to compute the inner product may be contained within the range over which the functions are defined. A weight functional data object may also be used to define weights for the inner product.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: inprod
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providing 
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