meanTranspose: Transposable model mean.
In Tsphere: Transposable Sphering for Large-Scale Inference with Correlated Data.
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Estimates row and column means.
Usage
1
meanTranspose(x, tol = 1e-06)
Arguments
x
Data matrix.
tol
Tolerance for iterative algorithm when data has missing values.
Details
Estimates the row and column means.
Value
x
Original data matrix.
xcen
Centered data matrix.
mu
Column mean.
nu
Row mean.
M
Mean matrix.
Author(s)
Genevera I. Allen
References
G. I. Allen and R. Tibshirani, "Transposable regularized covariance
models with an application to missing data imputation", Annals of
Applied Statistics, 4:2, 764-790, 2010.
See Also
Examples
1
2
3
4
x = matrix(rnorm(100*50),100,50)
#row and column centered data matrix
xc = meanTranspose(x)$xcen
Tsphere documentation built on May 2, 2019, 3:32 p.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Estimates row and column means.
Usage
1 | meanTranspose(x, tol = 1e-06)
|
Arguments
x |
Data matrix. |
tol |
Tolerance for iterative algorithm when data has missing values. |
Details
Estimates the row and column means.
Value
x |
Original data matrix. |
xcen |
Centered data matrix. |
mu |
Column mean. |
nu |
Row mean. |
M |
Mean matrix. |
Author(s)
Genevera I. Allen
References
G. I. Allen and R. Tibshirani, "Transposable regularized covariance models with an application to missing data imputation", Annals of Applied Statistics, 4:2, 764-790, 2010.
See Also
Examples
1 2 3 4 | x = matrix(rnorm(100*50),100,50)
#row and column centered data matrix
xc = meanTranspose(x)$xcen
|
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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