comp_std_residuals: Compute Standardized Residuals
In ClemensKohl/APL: Association Plots
comp_std_residuals R Documentation
Compute Standardized Residuals
Description
'comp_std_residuals' computes the standardized residual matrix S,
which is the basis for correspondence analysis and serves
as input for singular value decomposition (SVD).
Usage
comp_std_residuals(mat)
Arguments
mat
A numerical matrix or coercible to one by 'as.matrix()'.
Should have row and column names.
Details
Calculates standardized residual matrix S from the proportion matrix P and
the expected values E according to S = \frac{(P-E)}{sqrt(E)}.
Value
A named list with standardized residual matrix "S",
grand total of the original matrix "tot"
as well as row and column masses "rowm" and "colm" respectively.
ClemensKohl/APL documentation built on May 25, 2024, 3:15 p.m.
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| comp_std_residuals | R Documentation |
Compute Standardized Residuals
Description
'comp_std_residuals' computes the standardized residual matrix S, which is the basis for correspondence analysis and serves as input for singular value decomposition (SVD).
Usage
comp_std_residuals(mat)
Arguments
mat |
A numerical matrix or coercible to one by 'as.matrix()'. Should have row and column names. |
Details
Calculates standardized residual matrix S from the proportion matrix P and
the expected values E according to S = \frac{(P-E)}{sqrt(E)}.
Value
A named list with standardized residual matrix "S", grand total of the original matrix "tot" as well as row and column masses "rowm" and "colm" respectively.
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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