Coerce an object of class 'rdClass' or 'imgClass' to class 'fdClass'.

Usage

as.fdClass(
  x,
  Sparsity_parameter = NULL,
  Smoothing_parameter = NULL,
  argval = NULL
)

Arguments

x: An object of class 'rdClass' or 'imgClass'.
Sparsity_parameter: Optional sparsity parameter to assign. If NULL, defaults are used.
Smoothing_parameter: Optional smoothing parameter to assign. If NULL, defaults are used.
argval: Optional vector of grid points for columns. If NULL, defaults are used.

Value

An object of class 'fdClass' with user-specified or inherited regularization parameters.

Examples

img_object <- imgClass(
  image = list(matrix(rnorm(100), nrow = 10), matrix(rnorm(100), nrow = 10)),
  argval = NULL,
  Smoothing_parameter = NULL,
  Sparsity_parameter = 0
)
newfd <- as.fdClass(img_object)
newfd
#> Functional Data (fdClass) Object
#> -----------------------------------
#> Dimensions: 2 x 100
#> Smoothing Parameter: 9.313226e-10 1.379661e-08 2.043829e-07 ... 2.160119 32 
#> Sparsity Parameter: 0 
#> GridPoints_v: 0.01 0.02 0.03 ... 0.99 1 
#> -----------------------------------
#> First few rows and columns of the data:
#>              V1        V2        V3        V4         V5
#> [1,]  0.2553171  0.628982 0.3629513 0.1764886 -0.6391233
#> [2,] -0.7854327 -1.399410 0.4494538 0.8461847 -0.8273102