Package 'diagonals'

diagonals

Description

Several tools for handling block-matrix diagonals and similar constructs are implemented. Block-diagonal matrices can be extracted or removed using two small functions implemented here. In addition, non-square matrices are supported. Block diagonal matrices occur when two dimensions of a data set are combined along one edge of a matrix. For example, trade-flow data in the decompr' and 'gvc' packages have each country-industry combination occur along both edges of the matrix.

Author(s)

Bastiaan Quast [email protected]

See Also

https://qua.st/diagonals

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Fat Matrix Diagonals

Description

Fat Matrix Diagonals

fatdiag set

Usage

fatdiag(x = 1, steps = NULL, size = NULL, nrow = NULL, ncol = NULL)

fatdiag(x, steps = NULL, size = NULL, on_diagonal = TRUE) <- value

Arguments

x	a matrix where the dimensions are integer multiples of size or integer dividors of steps
steps	the required number of steps (block matrices) across the diagonal
size	the width or height of the matrix being dropped over the diagonal of matrix x
nrow	the number of rows
ncol	the number of columns
on_diagonal	should the operation be applied to the elements on the fat diagonal.
value	replacement value

Details

Either steps or size is expected to be provided.

Functions

• fatdiag<-: the set version of fatdiag

Examples

fatdiag(12, steps=3)

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

fatdiag(m, steps=3)

fatdiag(12, size=4)

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

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Split Vector

Description

Split Vector

Usage

split_vector(x, steps = NULL, size = NULL, replacement = 0)

Arguments

x	a numeric or character vector
steps	the number of steps
size	the size of the step
replacement	value to be inserted on the diagonal, by default this is zero (0).

Details

Either steps or size is expected to be provided.

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