toy.FullIOTable {ioanalysis} | R Documentation |
An example data set to illustrate as.inputoutput
Description
This data is designed to be a small dimension worst case scenario. The numbers are saved as a string and there are many NA
s floating around. The data itself was randomly generated.
Usage
data("toy.FullIOTable")
Format
An input output matrix with two regions, five sectors, four national accounts categories (including exports), four values added (including imports), and total production.
Details
toy,FullIOTable was created using the following code where toy.FullIOTable
was created using the seed of 117
and toy.FullIOTable2
was created using the seed 112358
See Also
See also toy.IO
, as.inputoutput
Examples
set.seed(117)
# Creating the T (transaction) matrix
T11 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
T12 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
T21 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
T22 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
Trd <- rbind(cbind(T11,T12),cbind(T21,T22))
# Creating Labels
region <- c(rep("Hogwarts",5),rep("Narnia",5))
sector <- c("Pizza","Wii","Spaceships","Lightsabers","Minions")
sector <- c(sector,sector)
id <- rbind(region,sector)
blank <- matrix(NA, ncol = 2, nrow = 2)
Trd <- rbind( cbind(blank, id), cbind(t(id), Trd))
# Creating value added matrix
V <- matrix(sample(100:300, 30), ncol = 10, nrow = 3)
label <- matrix(c("Employee Compensation", "Proprietor Income", "Indirect Business Tax"),
ncol = 1)
blank <- matrix(NA, ncol = 1, nrow = 3)
V <- cbind(blank, label, V)
# Creating final demand matrix
f <- matrix(sample(1:300, 80), ncol = 8, nrow = 10)
label <- c("Household", "Government", "Investment", " Exports")
label <- matrix(c(label, label), nrow = 1)
id <- rbind(region[c(1:4,6:9)], label)
f <- rbind(id, f)
# Creating total production
one.10 <- matrix(rep(1, 10), ncol = 1)
one.8 <- matrix(rep(1, 8), ncol = 1)
X <- matrix(as.numeric(Trd[3:12, 3:12]), nrow = 10)%*%one.10 +
matrix(as.numeric(f[3:12,]), nrow = 10)%*%one.8
label <- matrix(c(NA,"Total"))
X <- rbind(label, X)
# Creating imports (in this case it is a residual)
M <- matrix(NA, nrow = 1, ncol = 12)
one.3 <- matrix(rep(1, 3), ncol = 1)
M[1, 3:12] <- t(one.10)%*%matrix(as.numeric(Trd[3:12, 3:12]), nrow = 10) +
t(one.3)%*%matrix(as.numeric(V[,3:12]), nrow = 3)
M[1, 2] <- "Imports"
# Putting this beast together
blank <- matrix(NA, nrow=5, ncol = 9)
holder <- cbind(f, X)
holder <- rbind(holder, blank)
hold <- rbind(Trd, V, M, t(X))
toy.FullIOTable <- cbind(hold, holder)
# Creating an FV matrix
a <- matrix(round(80*runif(12)), nrow = 2, ncol = 6)
toy.FullIOTable[15:16, c(13:15, 17:19)] <- a
[Package ioanalysis version 0.3.4 Index]