ccorFun: Evaluate the smallest canonical correlation for two set of...
In feiyoung/SpagFainfer: Estimation and inference on high-dimensional group-sparse factor models
Description
Usage
Arguments
Value
Note
Author(s)
See Also
Examples
Description
Evaluate the smallest canonical correlation for two set of variables, each set of variables is represented by a matrix whose columns are variables.
Usage
1
ccorFun(hH, H)
Arguments
hH
a n-by-q matrix, one set of q variables.
H
a n-by-q matrix, the other set of q variables.
Value
return a scalar value, the smallest canonical correlation.
Note
nothing
Author(s)
Liu Wei
See Also
Examples
1
2
3
dat <- gendata(n = 300, p = 500)
res <- gsspFactorm(dat$X)
ccorFun(res$hH, dat$H0)
feiyoung/SpagFainfer documentation built on April 4, 2020, 5:20 p.m.
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Description Usage Arguments Value Note Author(s) See Also Examples
Description
Evaluate the smallest canonical correlation for two set of variables, each set of variables is represented by a matrix whose columns are variables.
Usage
1 | ccorFun(hH, H)
|
Arguments
hH |
a |
H |
a |
Value
return a scalar value, the smallest canonical correlation.
Note
nothing
Author(s)
Liu Wei
See Also
Examples
1 2 3 | dat <- gendata(n = 300, p = 500)
res <- gsspFactorm(dat$X)
ccorFun(res$hH, dat$H0)
|
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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