colMatch: Column match between two matrices by minimum mean absolute...
In davismcc/cardelino: Clone Identification from Single Cell Data
colMatch R Documentation
Column match between two matrices by minimum mean absolute difference
Description
Column match between two matrices by minimum mean absolute difference
Usage
colMatch(A, B, force = FALSE)
Arguments
A
The first matrix which will be matched
B
The second matrix, the return index will be used on
force
bool(1), If TRUE, force traversing all permutations of B to
find the optimised match to A with computing cost of O(n!). Otherwise, use
greedy search with computing cost of O(n^2).
Value
idx, the column index of B to be matched to A
Examples
matA <- matrix(sample(seq(12)), nrow = 3)
col_idx <- sample(4)
matB <- matA[, col_idx]
colMatch(matB, matA)
davismcc/cardelino documentation built on Nov. 19, 2022, 2:44 a.m.
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| colMatch | R Documentation |
Column match between two matrices by minimum mean absolute difference
Description
Column match between two matrices by minimum mean absolute difference
Usage
colMatch(A, B, force = FALSE)
Arguments
A |
The first matrix which will be matched |
B |
The second matrix, the return index will be used on |
force |
bool(1), If TRUE, force traversing all permutations of B to find the optimised match to A with computing cost of O(n!). Otherwise, use greedy search with computing cost of O(n^2). |
Value
idx, the column index of B to be matched to A
Examples
matA <- matrix(sample(seq(12)), nrow = 3) col_idx <- sample(4) matB <- matA[, col_idx] colMatch(matB, matA)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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