model_RGCCA: Prepare data for CCA.
In llrs/integration-helper: Facilitate the integration
Description
Usage
Arguments
Value
See Also
Description
Prepares the factors into their vectors. Each level of a factor is converted
to a column, numeric columns are left as is.
Usage
1
model_RGCCA(data, columns, intercept = FALSE)
Arguments
data
A data.frame with the information about the samples
columns
The name of the columns to be used to build the matrix
intercept
A logical value if you want one column with all 1 or not.
Value
A matrix with each factor is decomposed in as much columns as
factors has minus 1 and with the numeric values as they were.
See Also
llrs/integration-helper documentation built on Sept. 24, 2021, 10:57 a.m.
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Description Usage Arguments Value See Also
Description
Prepares the factors into their vectors. Each level of a factor is converted to a column, numeric columns are left as is.
Usage
1 | model_RGCCA(data, columns, intercept = FALSE)
|
Arguments
data |
A data.frame with the information about the samples |
columns |
The name of the columns to be used to build the matrix |
intercept |
A logical value if you want one column with all 1 or not. |
Value
A matrix with each factor is decomposed in as much columns as factors has minus 1 and with the numeric values as they were.
See Also
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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