buildCovMat: A function to build the covariate matrix of the constraints
In CenterForStatistics-UGent/compIntegrate: Compositional omics model based visual integration
buildCovMat R Documentation
A function to build the covariate matrix of the constraints
Description
A function to build the covariate matrix of the constraints
Usage
buildCovMat(datFrame)
Arguments
datFrame
the dataframe with which the covariate matrix is to be built
In this case we will 1) Include dummy's for every level of the
categorical variable, and force them to sum to zero.
This is needed for plotting and required for
reference level indepenent normalization.
2) Exclude an intercept. The density function f()
will provide this already.
Value
a list with components
covModelMat
The model matrix
datFrame
The dataframe used to construct the model matrix
CenterForStatistics-UGent/compIntegrate documentation built on Aug. 4, 2023, 1:08 p.m.
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| buildCovMat | R Documentation |
A function to build the covariate matrix of the constraints
Description
A function to build the covariate matrix of the constraints
Usage
buildCovMat(datFrame)
Arguments
datFrame |
the dataframe with which the covariate matrix is to be built In this case we will 1) Include dummy's for every level of the categorical variable, and force them to sum to zero. This is needed for plotting and required for reference level indepenent normalization. 2) Exclude an intercept. The density function f() will provide this already. |
Value
a list with components
covModelMat |
The model matrix |
datFrame |
The dataframe used to construct the model 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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