binaryapply_byname {matsbyname}

Apply a binary function "by name"

Description

If either a or b is missing or NULL, 0 is passed to FUN in its place. Note that if either a and b are lists, elements must be named the same. The names of list elements of a are applied to the output.

Usage

binaryapply_byname(
  FUN,
  a,
  b,
  .FUNdots = NULL,
  match_type = c("all", "matmult", "none"),
  set_rowcoltypes = TRUE,
  .organize = TRUE
)

Arguments

FUN

a binary function to be applied "by name" to a and b.

a

the first operand for FUN.

b

the second operand for FUN.

.FUNdots

a list of additional named arguments passed to FUN.

match_type

one of "all", "matmult", or "none". When both a and b are matrices, "all" (the default) indicates that rowtypes of a must match rowtypes of b and coltypes of a must match coltypes of b. If "matmult", coltypes of a must match rowtypes of b. If "none", neither coltypes nor rowtypes are checked.

set_rowcoltypes

tells whether to apply row and column types from a and b to the output. Set TRUE (the default) to apply row and column types to the output. Set FALSE, to not apply row and column types to the output.

.organize

a boolean that tells whether or not to automatically complete a and b relative to each other and sort the rows and columns of the completed matrices. Normally, this should be TRUE (the default). However, if FUN takes over this responsibility, set to FALSE.

Value

the result of applying FUN "by name" to a and b.

Examples

productnames <- c("p1", "p2")
industrynames <- c("i1", "i2")
U <- matrix(1:4, ncol = 2, dimnames = list(productnames, industrynames)) %>%
  setrowtype("Products") %>% setcoltype("Industries")
Y <- matrix(1:4, ncol = 2, dimnames = list(rev(productnames), rev(industrynames))) %>%
  setrowtype("Products") %>% setcoltype("Industries")
sum_byname(U, Y)
binaryapply_byname(`+`, U, Y)