Create Pairwise Log-Ratio Image

Converts a single sample's expression vector into a pairwise log-ratio image. For log-scale inputs, each pixel is the within-sample difference \(x_i - x_j\).

Usage

encode_ratio_image(x)

Arguments

x

Numeric vector of feature values on log scale.

Value

A square numeric matrix with one row and one column per feature.

References

Aitchison J. (1986). The Statistical Analysis of Compositional Data. Chapman and Hall.

Egozcue JJ, Pawlowsky-Glahn V, Mateu-Figueras G, Barcelo-Vidal C. (2003). Isometric logratio transformations for compositional data analysis. Mathematical Geology, 35(3), 279-300.

Gloor GB, Macklaim JM, Pawlowsky-Glahn V, Egozcue JJ. (2017). Microbiome datasets are compositional: and this is not optional. Frontiers in Microbiology, 8, 2224.

Examples

x <- c(5, 3, 1)
encode_ratio_image(x)
#>      [,1] [,2] [,3]
#> [1,]    0    2    4
#> [2,]   -2    0    2
#> [3,]   -4   -2    0