diabetes: Blood and other measurements in diabetics [Hastie and Efron...
In ehrlinger/l2boost: Exploring Friedman's Boosting Algorithm for Regularized Linear Regression
diabetes R Documentation
Blood and other measurements in diabetics [Hastie and Efron (2012)]
Description
A repackaged diabetes dataset [Hastie and Efron (2012)] is a list of two different design matrices
and a response vector with 442 observations [Efron et. al. (2004)]
The x matrix has been standardized to have unit L2 norm in each
column and zero mean. The matrix x2 consists of x plus 54 interaction terms.
Usage
diabetes
Format
A list of 3 data objects,
x: A data frame with 10 variables and 442 observations
y: a numeric response vector of 442 observations
x2: a design matrix including interaction terms with 64 columns and 442 observations.
References
Efron B., Hastie T., Johnstone I., and Tibshirani R.
"Least Angle Regression" Annals of Statistics 32:407-499, 2004.
Hastie T. and Efron B. (2012). lars: Least Angle Regression, Lasso and Forward Stagewise.
R package version 1.1. http://CRAN.R-project.org/package=lars
ehrlinger/l2boost documentation built on April 28, 2022, 7:29 a.m.
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| diabetes | R Documentation |
Blood and other measurements in diabetics [Hastie and Efron (2012)]
Description
A repackaged diabetes dataset [Hastie and Efron (2012)] is a list of two different design matrices and a response vector with 442 observations [Efron et. al. (2004)]
The x matrix has been standardized to have unit L2 norm in each column and zero mean. The matrix x2 consists of x plus 54 interaction terms.
Usage
diabetes
Format
A list of 3 data objects,
x: A data frame with 10 variables and 442 observations
y: a numeric response vector of 442 observations
x2: a design matrix including interaction terms with 64 columns and 442 observations.
References
Efron B., Hastie T., Johnstone I., and Tibshirani R. "Least Angle Regression" Annals of Statistics 32:407-499, 2004.
Hastie T. and Efron B. (2012). lars: Least Angle Regression, Lasso and Forward Stagewise. R package version 1.1. http://CRAN.R-project.org/package=lars
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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