hatinv_byname | R Documentation |
When dividing rows or columns of a matrix by elements of a vector,
the vector elements are placed on the diagonal of a new matrix,
the diagonal matrix is inverted, and
the result is pre- or post-multiplied into the matrix.
This function performs the hatizing and inverting of vector v
in one step
and takes advantage of computational efficiencies to achieve the desired result.
The computational shortcut is apparent when one observes that the matrix produced by hatizing and inverting
a vector is a diagonal matrix whose non-zero elements are the numerical inverses of the individual elements of v
.
So this function first inverts each element of v
then places the inverted elements on the diagonal of a diagonal matrix.
hatinv_byname(v, keep = NULL, inf_becomes = .Machine$double.xmax)
v |
The vector to be hatized and inverted. |
keep |
See |
inf_becomes |
A value to be substitute for any |
Note that this function gives the same result as invert_byname(hatize_byname(v))
,
except that invert_byname(hatize_byname(v))
fails due to a singular matrix error
when any of the elements of v
are zero.
This function will give inf_becomes
on the diagonal of the result for each zero element of v
,
arguably a better answer.
The sign of Inf
is preserved in the substitution.
The default value of inf_becomes
is .Machine$double.xmax
.
Set inf_becomes
to NULL
to disable this behavior.
The default behavior is helpful for cases when the result of hatinv_byname()
is later multiplied by 0
to obtain 0
.
Multiplying Inf
by 0
gives NaN
which would effectively end the stream of calculations.
a square diagonal matrix with inverted elements of v
on the diagonal
v <- matrix(1:10, ncol = 1, dimnames = list(c(paste0("i", 1:10)), c("c1"))) %>%
setrowtype("Industries") %>% setcoltype(NA)
r <- matrix(1:5, nrow = 1, dimnames = list(c("r1"), c(paste0("c", 1:5)))) %>%
setrowtype(NA) %>% setcoltype("Commodities")
hatinv_byname(v, keep = "rownames")
hatinv_byname(r, keep = "colnames")
# This function also works with lists.
hatinv_byname(list(v, v), keep = "rownames")
# Watch out for 0 values
v2 <- matrix(0:1, ncol = 1, dimnames = list(c(paste0("i", 0:1)), c("p1"))) %>%
setrowtype("Industries") %>% setcoltype(NA)
# Produces singular matrix error
## Not run: v2 %>% hatize_byname() %>% invert_byname
# Handles 0 values well
hatinv_byname(v2, keep = "rownames")
hatinv_byname(v2, inf_becomes = 42, keep = "rownames")
hatinv_byname(v2, inf_becomes = NA, keep = "rownames")
# Deals with 1x1 matrices well, if the `keep` argument is set.
m <- matrix(42, nrow = 1, ncol = 1, dimnames = list("r1", "c1")) %>%
setrowtype("Product -> Industry") %>%
setcoltype("Industry -> Product")
m %>%
hatinv_byname(keep = "rownames")
m %>%
hatinv_byname(keep = "colnames")
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