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tibble(
Buyer = c("A","B","Total"),
A = c(1,2,3),
B=c(3,4,7),
Total=c(4,6,10)
) -> data
I am asked to convert this format into a causative matrix.
I have no idea what a causative matrix is, but I noticed that in your package, a preliminary step to reach Leontief/Ghosh is to convert the tibble with output_coefficient_matrix_create(), or analogous commands.
However, if I process data with output_coefficient_matrix_create(), I get the error that arguments have different numbers of rows.
Given that my data are formatted as data, what do I need, to output a Leontief or a Ghosh?
To my understanding, the causative matrix is a combination of both of them.
The text was updated successfully, but these errors were encountered:
@giuliogcantone The package currently works only with standardized, European SIOTs. The inclusion of custom SIOTs is overdue, as we want to work with Swiss, OECD, etc, data sources as well. Currently you must adhere to the formatting standards of the pacakge and Eurostat.
I have a custom table in this format:
I am asked to convert this format into a causative matrix.
I have no idea what a causative matrix is, but I noticed that in your package, a preliminary step to reach Leontief/Ghosh is to convert the
tibble
withoutput_coefficient_matrix_create()
, or analogous commands.However, if I process
data
withoutput_coefficient_matrix_create()
, I get the error that arguments have different numbers of rows.Given that my data are formatted as
data
, what do I need, to output a Leontief or a Ghosh?To my understanding, the causative matrix is a combination of both of them.
The text was updated successfully, but these errors were encountered: