pair_with: Pair a sample (n) with all the other samples in the matrix m.
In steveneschrich/CLIApet: CLIA Performance Evaluation Toolkit: An R Library For Supporting Gene Expression Based CLIA Validation Studies
Description
Usage
Arguments
Details
Value
View source: R/sample_sample_plot.R
Description
This function takes an integer n and a matrix m. The goal is to
generate all pairings of n with members of l (except n itself).
This is done in index space (e.g., if n=1, then it would provide
(1,2), (1,3), (1,4) for a 4-column matrix).
Usage
1
pair_with(n, m)
Arguments
n
The index of sample to pair everything against.
m
A matrix of samples (one column is one sample).
Details
I suspect there is a function in R to do this, but I couldn't find
it quickly.
Value
A matrix of columns representing pairings to consider.
steveneschrich/CLIApet documentation built on March 2, 2021, 12:02 a.m.
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Description Usage Arguments Details Value
View source: R/sample_sample_plot.R
Description
This function takes an integer n and a matrix m. The goal is to generate all pairings of n with members of l (except n itself). This is done in index space (e.g., if n=1, then it would provide (1,2), (1,3), (1,4) for a 4-column matrix).
Usage
1 | pair_with(n, m)
|
Arguments
n |
The index of sample to pair everything against. |
m |
A matrix of samples (one column is one sample). |
Details
I suspect there is a function in R to do this, but I couldn't find it quickly.
Value
A matrix of columns representing pairings to consider.
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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