fd {fda} | R Documentation |
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, user of the functional data analysis software will not
need to call this function directly, but these notes are valuable to
understanding what the "slots" or "members" of the fd
class
are.
fd(coef=matrix(0, 2, 1), basisobj=basisfd(), fdnames=defaultnames)
coef |
a vector, matrix, or three-dimensional array of coefficients. The first dimension of matrices and arrays, as well as that of a vector, corresponds to basis functions. The second dimension corresponds to the number of functions or curves, or to replicates. The third dimension if present corresponds to variables for multivariate functional data objects. A functional data object is referred to as "univariate" if this argument is a vector or a matrix, and "multivariate" if it is a three-dimensional array. |
basisobj |
a functional basis object defining the basis |
fdnames |
A list of length 3, each member being a string vector containing labels for the levels of the corresponding dimension of the discrete data. The first dimension is for argument values, and is given the default name "time", the second is for replications, and is given the default name "reps", and the third is for functions, and is given the default name "values". |
To check that an object is of this class, use function
is.fd
.
Normally only developers of new functional data analysis functions will actually need to use this function, so no examples are provided.
a functional data object
Ramsay, James O., and Silverman, Bernard W. (2006), Functional Data Analysis, 2nd ed., Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York