multigene: Given two input matrices with the same number of observations...
In multicross: A Graph-Based Test for Comparing Multivariate Distributions in the Multi Sample Framework
Description
Usage
Arguments
Value
Description
Given two input matrices with the same number of observations but differrent number of variables, this function returns the largest canonical correlation between variables of matrix 1 (X) and those of matrix 2 (Y).
Usage
1
multigene(X, Y)
Arguments
X
is a data matrix with observations as rows and features/genes as columns.
Y
is a data matrix with observations as rows (same observations as X) and a different set of features/genes as columns.
Value
The largest canonical correlation between X and Y as described in <https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Canonical_Correlation.pdf>.
multicross documentation built on July 8, 2020, 7:29 p.m.
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Description Usage Arguments Value
Description
Given two input matrices with the same number of observations but differrent number of variables, this function returns the largest canonical correlation between variables of matrix 1 (X) and those of matrix 2 (Y).
Usage
1 | multigene(X, Y)
|
Arguments
X |
is a data matrix with observations as rows and features/genes as columns. |
Y |
is a data matrix with observations as rows (same observations as X) and a different set of features/genes as columns. |
Value
The largest canonical correlation between X and Y as described in <https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Canonical_Correlation.pdf>.
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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