checkMse: checkMse
In quevedor2/CCLid: Compares Cancer Cell Line Genotypes Against Pharmacogenomic Datasets
View source: R/deconvolute_ccl.R
Description
Finds the MSE for a NMF fit given a rank of 0 to 2.
If the MSE is lowest for rank 0, then this suggests that the
design matrix is complete and perfectly explains the observed data.
If the MSE for a rank 1 or rank 2 is lowest, this suggests that
the design matrix partially explains the observed data.
Upon examining the H matrix, we can see the VERY rough proportion
of the data in rank k that is unexplained from the design matrix.
Usage
1
checkMse(M, M0)
Arguments
M
Input matrix
M0
Design matrix
quevedor2/CCLid documentation built on July 15, 2020, 4:05 a.m.
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View source: R/deconvolute_ccl.R
Description
Finds the MSE for a NMF fit given a rank of 0 to 2. If the MSE is lowest for rank 0, then this suggests that the design matrix is complete and perfectly explains the observed data. If the MSE for a rank 1 or rank 2 is lowest, this suggests that the design matrix partially explains the observed data.
Upon examining the H matrix, we can see the VERY rough proportion of the data in rank k that is unexplained from the design matrix.
Usage
1 | checkMse(M, M0)
|
Arguments
M |
Input matrix |
M0 |
Design matrix |
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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