Fat diagonal matrices occur when we combine two dimensions of a data set along one edge of a matrix. For example, trade-flow data in the decompr and gvc package have each country-industry combination occur on each edge of the matrix.

A fat diagonal matrix looks like this.

library(diagonals) fatdiag(12, steps=3)

The workhorse function of this package is the `fatdiag`

function, which tries behave similarly to the `diag`

function from the `base`

package, but then with diagonals being **fat**.

We can also use the function to assign values to the diagonal.

( m <- matrix(111, nrow=6, ncol=9) ) fatdiag(m, steps=3) <- 5 m

As can be seen from the above example, the blocks and matrices do not have to be square.

The diagonal of a matrix can also be extracted.

fatdiag(m, steps=3)

We can also specify the size of the block in stead of the number of steps.

fatdiag(12, size=4)

This also gives us flexibility in terms of having non-square blocks (and consequently matrices).

fatdiag(12, size=c(3,4) )

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