simdata: A Set of Simulated Data with Single Gaussian Response...
In POCRE: Penalized Orthogonal-Components Regression
simdata R Documentation
A Set of Simulated Data with Single Gaussian Response Variable
Description
A simulated data set with 100 observations, each with one response variable and 1,000 covariates.
Usage
data("simdata")
Format
A data frame with 100 observations on 1001 variables with the first column for the response variable, and the rest for the covariates.
Details
The 1,000 covariates are from 10 blocks of independent variables, with each block consisting 100 autoregressively correlated variables. There are a total of 20 covariates affecting the response variables: x_1, …, x_{10}, x_{101}, …, x_{110}.
Author(s)
Dabao Zhang, Zhongli Jiang, Zeyu Zhang, Department of Statistics, Purdue University
References
Zhang D, Lin Y, and Zhang M (2009). Penalized orthogonal-components regression for large p small n data. Electronic Journal of Statistics, 3: 781-796.
See Also
pocrescreen, pocrepath, pocre.
Examples
data(simdata)
POCRE documentation built on March 18, 2022, 6:43 p.m.
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| simdata | R Documentation |
A Set of Simulated Data with Single Gaussian Response Variable
Description
A simulated data set with 100 observations, each with one response variable and 1,000 covariates.
Usage
data("simdata")
Format
A data frame with 100 observations on 1001 variables with the first column for the response variable, and the rest for the covariates.
Details
The 1,000 covariates are from 10 blocks of independent variables, with each block consisting 100 autoregressively correlated variables. There are a total of 20 covariates affecting the response variables: x_1, …, x_{10}, x_{101}, …, x_{110}.
Author(s)
Dabao Zhang, Zhongli Jiang, Zeyu Zhang, Department of Statistics, Purdue University
References
Zhang D, Lin Y, and Zhang M (2009). Penalized orthogonal-components regression for large p small n data. Electronic Journal of Statistics, 3: 781-796.
See Also
pocrescreen, pocrepath, pocre.
Examples
data(simdata)
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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