dist_betw_matrices: Distance between rows of two matrices
In lineup2: Lining Up Two Sets of Measurements

Description Usage Arguments Value See Also Examples

Calculate the distances between the rows of one matrix and the rows of a second matrix.

dist_betw_matrices(
  x,
  y,
  distance = c("rmsd", "mad", "propdiff"),
  align_cols = TRUE,
  cores = 1
)

`x`	A numeric matrix.
`y`	A second numeric matrix, with the same number of columns as `x`.
`distance`	Indicates whether to use Euclidean distance (`"rmsd"` for root mean square difference), the mean absolute difference (`"mad"`), or the proportion of differences (`"propdiff"`).
`align_cols`	If TRUE, align the columns in the two matrices by the column names.
`cores`	Number of CPU cores to use, for parallel calculations. (If `0`, use `parallel::detectCores()`.) Alternatively, this can be links to a set of cluster sockets, as produced by `parallel::makeCluster()`.

If x is m by p and y is n by p, then the result is an m by n matrix whose (i,j)th element is the distance between the ith row of x and the jth row of y.

corr_betw_matrices(), dist_betw_arrays()

p <- 10
n <- 5
m <- 3
x <- matrix(stats::rnorm(n*p), ncol=p)
rownames(x) <- LETTERS[1:n]
y <- matrix(stats::rnorm(m*p), ncol=p)
rownames(y) <- letters[1:m]

d <- dist_betw_matrices(x, y)