cc: cc
In livioivil/r41sqrt10: livio's sandbox
cc R Documentation
cc
Description
Very similar cc() of package CCA, but 1) it allows for X and Y to be rank deficient, 2) it allows for categorical variables and 3) it allows for covariates, 4) more (see below).
Usage
cc(X, Y, Zx = NULL, Zy = Zx, fill.na = FALSE)
Arguments
X
See cc for a proper documentation.
Y
See cc for a proper documentation.
Zx
(=NULL by default) covariates (i.e. nuisance) of X. If different from NULL, the X are residualized by Zx before entering cc().
Zy
(=Zx by default) covariates of Y. Same use of Zx.
fill.na
replace NA in X and Y with column mean before enter cc().
Value
The returned list is the same list as returned by cc, while it also contains prop_expl_var which is a list reporting the proportion of explained (total) variance of X and Y by each component (i.e. mode).
livioivil/r41sqrt10 documentation built on July 29, 2023, 5:40 p.m.
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| cc | R Documentation |
cc
Description
Very similar cc() of package CCA, but 1) it allows for X and Y to be rank deficient, 2) it allows for categorical variables and 3) it allows for covariates, 4) more (see below).
Usage
cc(X, Y, Zx = NULL, Zy = Zx, fill.na = FALSE)
Arguments
X |
See |
Y |
See |
Zx |
( |
Zy |
( |
fill.na |
replace |
Value
The returned list is the same list as returned by cc, while it also contains prop_expl_var which is a list reporting the proportion of explained (total) variance of X and Y by each component (i.e. mode).
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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