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).- tol
A double that tells how precisely equal the values of
aandbmust be. Default is0.
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