CCA_chisq_test: Chi-square Test for Canonical Correlation Analysis
In QRFCCA: Quadratically Regularized Functional Canonical Correlation Analysis
Description
Usage
Arguments
Details
Value
See Also
Examples
View source: R/CCA_chisq_test.R
Description
Calculate the chi-square test for canonical correlation analysis.
Usage
1
CCA_chisq_test(rho, n, p, q)
Arguments
rho
a vector of correlation coefficients.
n
The number of individuals.
p
The number of variables in the first set of variables.
q
The number of variables in the second set of variables.
Details
Calculate the p-value of the chi-square test for canonical correlation analysis.
Value
p-values between 0 and 1.
See Also
Examples
1
rlt = CCA_chisq_test(c(0.9,0.6,0.02),100,4,3);
QRFCCA documentation built on Nov. 17, 2017, 7:20 a.m.
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Description Usage Arguments Details Value See Also Examples
View source: R/CCA_chisq_test.R
Description
Calculate the chi-square test for canonical correlation analysis.
Usage
1 | CCA_chisq_test(rho, n, p, q)
|
Arguments
rho |
a vector of correlation coefficients. |
n |
The number of individuals. |
p |
The number of variables in the first set of variables. |
q |
The number of variables in the second set of variables. |
Details
Calculate the p-value of the chi-square test for canonical correlation analysis.
Value
p-values between 0 and 1.
See Also
Examples
1 | rlt = CCA_chisq_test(c(0.9,0.6,0.02),100,4,3);
|
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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