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Apply a function "by name" to any number of operands

Source: R/Apply.R
naryapply_byname.Rd

Applies FUN to all operands in .... Other arguments have similar meaning as binaryapply_byname(). See details for more information.

Usage

naryapply_byname(
  FUN,
  ...,
  .FUNdots = NULL,
  match_type = c("all", "matmult", "none"),
  set_rowcoltypes = TRUE,
  .organize = TRUE,
  .summarise = FALSE
)

Arguments

FUN

a binary function to be applied "by name" to all operands in ....

...

the operands for FUN.

.FUNdots

a list of additional named arguments passed to FUN.

match_type

One of "all", "matmult", or "none". When ... are matrices, "all" (the default) indicates that rowtypes of all ... matrices must match and coltypes of all ... matrices must match. If "matmult", the coltype of the first operand must match the rowtype of the second operand for every sequential invocation of FUN. If "none", neither coltypes nor rowtypes are checked by naryapply_byname().

set_rowcoltypes

Tells whether to apply row and column types from operands in ... to the output of each sequential invocation of FUN. Set TRUE (the default) to apply row and column types. Set FALSE, to not apply row and column types to the output.

.organize

A boolean that tells whether or not to automatically complete operands in ... relative to each other and sort the rows and columns of the completed matrices. This organizing is done on each sequential invocation of FUN. Normally, this should be TRUE (the default). However, if FUN takes over this responsibility, set to FALSE.

.summarise

A boolean that tells whether this call is considered a summarise operation (like dplyr::summarise()). Default is FALSE.

Value

the result of applying FUN to all operands in ...

Details

If only one ... argument is supplied, FUN must be capable of handling one argument, and the call is routed to unaryapply_byname(). When set_rowcoltypes is TRUE, the rowcoltypes argument of unaryapply_byname() is set to "all", but when set_rowcoltypes is FALSE, the rowcoltypes argument of unaryapply_byname() is set to "none". If finer control is desired, the caller should use unaryapply_byname() directly. If more than one argument is passed in ..., FUN must be a binary function, but its use in by naryapply_byname() is "n-ary." Arguments match_type, set_rowcoltypes, and .organize have same meaning as for binaryapply_byname(). Thus, all of the operands in ... must obey the rules of type matching when match_type is TRUE.

naryapply_byname() and cumapply_byname() are similar. Their differences can be described by considering a data frame. naryapply_byname() applies FUN to several columns (variables) of the data frame. For example, sum_byname() applied to several variables gives another column containing the sums across each row of the data frame. cumapply_byname() applies FUN to successive entries in a single column. For example sum_byname() applied to a single column gives the sum of all numbers in that column.

Examples

naryapply_byname(FUN = sum_byname, 2, 3)
#> [1] 5
naryapply_byname(FUN = sum_byname, 2, 3, 4, -4, -3, -2)
#> [1] 0
# Routes to unaryapply_byname
naryapply_byname(FUN = `^`, list(1,2,3), .FUNdots = list(2))
#> [[1]]
#> [1] 1
#> 
#> [[2]]
#> [1] 4
#> 
#> [[3]]
#> [1] 9
#>