Compare two matrices "by name" for equality

If operands are matrices, they are completed and sorted relative to one another prior to comparison.

Usage

equal_byname(..., .summarise = FALSE, tol = 0)

Arguments

...

Operands to be compared.

.summarise

Tells whether the operation should be accomplished across lists (FALSE) or down lists (TRUE).

tol

A double that tells how precisely equal the values of a and b must be. Default is 0.

Value

TRUE iff all information is equal, including row and column types and

row and column names and

entries in the matrices.

Details

Comparisons are made by equal_matrix_or_Matrix(a, b, tolerance = abs(tol)) so that variations among numbers within tol will still return TRUE.

If EXACT comparison is needed, use identical_byname(), which compares using identical(a, b).

tol should be a single value that applies to all items in ....

Examples

a <- matrix(1:4, nrow = 2)
b <- matrix(1:4, nrow = 2)
equal_byname(a, b)
#> [1] TRUE
equal_byname(a, b + 1e-100)
#> [1] TRUE
identical_byname(a, b + 1e-100)
#> [1] FALSE
a <- a %>% setrowtype("Industries") %>% setcoltype("Commodities")
equal_byname(a, b) # FALSE because a has row and column types, but b does not.
#> [1] FALSE
b <- b %>% setrowtype("Industries") %>% setcoltype("Commodities")
equal_byname(a, b)
#> [1] TRUE
dimnames(a) <- list(c("i1", "i2"), c("c1", "c2"))
dimnames(b) <- list(c("c1", "c2"), c("i1", "i2"))
equal_byname(a, b) # FALSE, because row and column names are not equal
#> [1] FALSE
dimnames(b) <- dimnames(a)
equal_byname(a, b)
#> [1] TRUE