GenStrucData_Normal: Generate normal data using latent variable model
In DongyueXie/scca: Sparse Canonical Correlation Analysis - Intergrated Methods
Description
Usage
Arguments
Value
Description
Generate normal data using latent variable model
Usage
1
2
GenStrucData_Normal(u, v, n = 50, sigma_z = 1, sigma_x = NULL,
sigma_y = NULL)
Arguments
u:
caonical coefficients for x
v:
canonical coefficients for y
n:
sample size
sigma_z:
sd of the latent variable z, scalar
sigma_x:
covariance matrix of x, default to be identity
sigma_y:
covariance matrix of y, default to be identity
Value
a list containing data mattrix X and Y
DongyueXie/scca documentation built on May 29, 2019, 2:37 p.m.
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Description Usage Arguments Value
Description
Generate normal data using latent variable model
Usage
1 2 | GenStrucData_Normal(u, v, n = 50, sigma_z = 1, sigma_x = NULL,
sigma_y = NULL)
|
Arguments
u: |
caonical coefficients for x |
v: |
canonical coefficients for y |
n: |
sample size |
sigma_z: |
sd of the latent variable z, scalar |
sigma_x: |
covariance matrix of x, default to be identity |
sigma_y: |
covariance matrix of y, default to be identity |
Value
a list containing data mattrix X and Y
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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