Get Multivariate Functional Data from a three-dimensional array

get_mfd_array(
  data_array,
  grid = NULL,
  n_basis = 30,
  n_order = 4,
  basisobj = NULL,
  Lfdobj = 2,
  lambda = NULL,
  lambda_grid = 10^seq(-10, 1, length.out = 10),
  ncores = 1
)

Arguments

data_array: A three-dimensional array. The first dimension corresponds to argument values, the second to replications, and the third to variables within replications.
grid: See get_mfd_list.
n_basis: See get_mfd_list.
n_order: #' See get_mfd_list.
basisobj: #' See get_mfd_list.
Lfdobj: #' See get_mfd_list.
lambda: See get_mfd_list.
lambda_grid: See get_mfd_list.
ncores: Deprecated. See get_mfd_list.

Value

An object of class mfd. See also ?mfd for additional details on the multivariate functional data class.

Examples

library(funcharts)
library(fda)
#> Loading required package: splines
#> Loading required package: fds
#> Loading required package: rainbow
#> Loading required package: MASS
#> Loading required package: pcaPP
#> Loading required package: RCurl
#> Loading required package: deSolve
#> 
#> Attaching package: 'fda'
#> The following object is masked from 'package:graphics':
#> 
#>     matplot
data("CanadianWeather")
mfdobj <- get_mfd_array(CanadianWeather$dailyAv[, 1:10, ],
                        lambda = 1e-5)
plot_mfd(mfdobj)