new_Y | R Documentation |
When the final demand matrix changes from Y to Y_prime, this function calculates new resource (R_prime), use (U_prime), feed (U_feed), energy industry own use (U_eiou), ratio (r_eiou), and make (V_prime) matrices that would be required to meet the new final demand (Y_prime).
new_Y(
.sutmats = NULL,
Y_prime = "Y_prime",
L_ixp = "L_ixp",
L_pxp = "L_pxp",
Z = "Z",
Z_feed = "Z_feed",
D = "D",
O = "O",
R_prime = "R_prime",
U_prime = "U_prime",
U_feed_prime = "U_feed_prime",
U_eiou_prime = "U_EIOU_prime",
r_eiou_prime = "r_EIOU_prime",
V_prime = "V_prime"
)
.sutmats |
A data frame of supply-use table matrices with matrices arranged in columns. |
Y_prime |
A new final demand matrix or name of a column in |
L_ixp , L_pxp , Z , Z_feed , D , O |
Input matrices that describe the structure of the energy conversion chain.
Values can be string names (the default) for columns in a data frame |
R_prime , U_prime , U_feed_prime , U_eiou_prime , r_eiou_prime , V_prime |
The new names for new matrices. Defaults are each argument name as a string. |
Note that inputs L_ixp, L_pxp,
Z, and D can be
conveniently calculated by the function calc_io_mats()
.
Internally, this function uses matsindf::matsindf_apply()
,
and documentation assumes that
.sutmats
is not NULL
and is a data frame.
But .sutmats
can also be a named list of matrices.
Or matrices can be supplied individually to the
Y_prime
, L_ixp
, L_pxp
, Z
, Z_feed
, D
, and O
arguments.
If .sutmats
is present, output is a data frame with columns named by string values of output arguments, and
input arguments should be character strings that name columns in .sutmats
.
If .sutmats
is NULL
(the default), output is a list with items named by output strings,
and input arguments should be single matrices or vectors.
A list or data frame containing R_prime, U_prime, U_feed, U_eiou, r_eiou, and V_prime matrices.
library(dplyr)
library(matsbyname)
library(tidyr)
UKEnergy2000mats %>%
spread(key = matrix.name, value = matrix) %>%
select(Country, Year, EnergyType, LastStage, R, U, U_feed, V, Y, r_EIOU, S_units) %>%
calc_io_mats() %>%
mutate(
# Give new Y matrices that are double the existing Y matrices
Y_prime = matsbyname::hadamardproduct_byname(2, Y)
) %>%
# Should give U_prime and V_prime matrices that are double the existing U and V matrices
new_Y()
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