Element-wise Subtraction for Hybrid Data Objects

Performs element-wise subtraction of two objects of class hdClass, fdClass, rdClass, or imgClass, assuming they have identical dimensions. This operator is useful for iterative model fitting, residual computation, or gradient-based updates in hybrid data decomposition.

Usage

# S3 method for class 'hd'
obj1 - NULL

Arguments

obj1: An object of class hdClass, fdClass, rdClass, or imgClass.
obj2: Another object of the same class as obj1. If NULL, the function returns obj1.

Value

An object of the same class as obj1 and obj2, representing the element-wise difference.

Details

The dimensions of the two input objects must match exactly. Attributes from obj1 are preserved.

Examples

fd1 <- fdClass(matrix(1:9, 3, 3))
fd2 <- fdClass(matrix(1, 3, 3))
fd_diff <- fd1 - fd2
print(fd_diff)
#> Functional Data (fdClass) Object
#> -----------------------------------
#> Dimensions: 3 x 3
#> Smoothing Parameter: 0 
#> Sparsity Parameter: 0 
#> GridPoints_v: 0.3333333 0.6666667 1 
#> -----------------------------------
#> First few rows and columns of the data:
#>      V1 V2 V3
#> [1,]  0  3  6
#> [2,]  1  4  7
#> [3,]  2  5  8