If operands are matrices, they are completed and sorted relative to one another prior to comparison.
Arguments
- ...
Operands to be compared.
- .summarise
Tells whether the operation should be accomplished across lists (
FALSE) or down lists (TRUE).
Value
TRUE iff all information is identical, including
row and column types and
row and column names and
entries in the matrices.
Details
Comparisons are made by identical(a, b) so that variations among numbers
within the computational precision will return FALSE.
If fuzzy comparison is needed, use equal_byname,
which compares using isTRUE(all.equal(a, b)).
Examples
a <- matrix(1:4, nrow = 2)
b <- matrix(1:4, nrow = 2)
identical_byname(a, b)
#> [1] TRUE
identical_byname(a, b + 1e-100)
#> [1] FALSE
a <- a %>% setrowtype("Industries") %>% setcoltype("Commodities")
identical_byname(a, b) # FALSE because a has row and column types, but b does not.
#> [1] FALSE
b <- b %>% setrowtype("Industries") %>% setcoltype("Commodities")
identical_byname(a, b)
#> [1] TRUE
dimnames(a) <- list(c("i1", "i2"), c("c1", "c2"))
dimnames(b) <- list(c("c1", "c2"), c("i1", "i2"))
identical_byname(a, b) # FALSE, because row and column names are not equal
#> [1] FALSE
dimnames(b) <- dimnames(a)
identical_byname(a, b)
#> [1] TRUE