FUN is applied to a using additional arguments .FUNdots to FUN.
If a is a list, the names of a are applied to the output.
Usage
unaryapply_byname(
FUN,
a,
.FUNdots = NULL,
rowcoltypes = c("all", "transpose", "row", "col", "none")
)Arguments
- FUN
a unary function to be applied "by name" to
a.- a
the argument to
FUN.- .FUNdots
a list of additional named arguments passed to
FUN.- rowcoltypes
a string that tells how to transfer row and column types of
ato output. See details.
Details
Note that .FUNdots can be a rectangular two-dimensional list of arguments to FUN.
If so, .FUNdots is interpreted as follows:
The first dimension of
.FUNdotscontains named arguments toFUN.The second dimension of
.FUNdotscontains unique values of the named arguments to be applied along the list that isa.
The length of the first dimension of .FUNdots is the number of arguments supplied to FUN.
The length of the second dimension of .FUNdots must be equal to the length of a.
See prepare_.FUNdots() for more details on the .FUNdots argument.
Options for the rowcoltypes argument are:
"all": transfer both row and column types of
adirectly to output."transpose": rowtype of
abecomes coltype of output; coltype ofabecomes rowtype of output. "transpose" is helpful forFUNs that transposeaupon output."row": rowtype of
abecomes both rowtype and coltype of output."col": coltype of
abecomes both rowtype and coltype of output."none": rowtype and coltype not set by
unaryapply_byname. Rather,FUNwill set rowtype and coltype.
Note that rowcoltypes should not be a vector or list of strings.
Rather, it should be a single string.
Examples
productnames <- c("p1", "p2")
industrynames <- c("i1", "i2")
U <- matrix(1:4, ncol = 2, dimnames = list(productnames, industrynames)) %>%
setrowtype("Products") %>% setcoltype("Industries")
difference_byname(0, U)
#> i1 i2
#> p1 -1 -3
#> p2 -2 -4
#> attr(,"rowtype")
#> [1] "Products"
#> attr(,"coltype")
#> [1] "Industries"
unaryapply_byname(`-`, U)
#> i1 i2
#> p1 -1 -3
#> p2 -2 -4
#> attr(,"rowtype")
#> [1] "Products"
#> attr(,"coltype")
#> [1] "Industries"