makeRowProfiles: Preprocessing for CA-based analyses
In ExPosition: Exploratory Analysis with the Singular Value Decomposition
Description
Usage
Arguments
Value
Author(s)
View source: R/makeRowProfiles.R
Description
This function performs all preprocessing steps required for Correspondence Analysis-based preprocessing.
Usage
1
makeRowProfiles(X, weights = NULL, masses = NULL, hellinger = FALSE)
Arguments
X
Data matrix.
weights
optional. Weights to include in preprocessing.
masses
optional. Masses to include in preprocessing.
hellinger
a boolean. If TRUE, Hellinger preprocessing is used. Else, CA row profile is computed.
Value
Returns from link{hellingerNorm} or caNorm.
Author(s)
Derek Beaton
ExPosition documentation built on May 1, 2019, 7:06 p.m.
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Description Usage Arguments Value Author(s)
View source: R/makeRowProfiles.R
Description
This function performs all preprocessing steps required for Correspondence Analysis-based preprocessing.
Usage
1 | makeRowProfiles(X, weights = NULL, masses = NULL, hellinger = FALSE)
|
Arguments
X |
Data matrix. |
weights |
optional. Weights to include in preprocessing. |
masses |
optional. Masses to include in preprocessing. |
hellinger |
a boolean. If TRUE, Hellinger preprocessing is used. Else, CA row profile is computed. |
Value
Returns from link{hellingerNorm} or caNorm.
Author(s)
Derek Beaton
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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