manpower: Hospital manpower data
In bestglm: Best Subset GLM and Regression Utilities
Description
Usage
Format
Details
Source
References
Examples
Description
The goal of this study is to predict the manpower requirement as given in
the output
variable Hours given the five other input variables.
Data is from Table 3.8 of Myers (1990). See also Examples 3.8, 4.5, 8.8.
Usage
1
Format
A data frame with 17 observations. The output variable is Hours and the
inputs are Load, Xray, BedDays, AreaPop and Stay. The site 1 through 17
is indicated by the row name.
Loada numeric vector
Xraya numeric vector
BedDaysa numeric vector
AreaPopa numeric vector
Staya numeric vector
Hoursa numeric vector
Details
This data illustrates the multicollinearity problem and the use of VIF to
identify it. It provides an illustrative example for ridge regression and
more modern methods such as lasso and lars.
Source
Myers (1990) indicates the source was
"Procedures and Analysis for Staffing Standards Development:
Data/Regression Analysis Handbook",
Navy Manpower and Material Analysis
Center, San Diego, 1979.
References
Myers, R. (1990). Classical and Modern Regression with Applications.
The Duxbury Advanced Series in Statistics and Decision Sciences.
Boston: PWS-KENT Publishing Company.
Examples
1
Example output
Loading required package: leaps
bestglm documentation built on March 26, 2020, 7:25 p.m.
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Description Usage Format Details Source References Examples
Description
The goal of this study is to predict the manpower requirement as given in the output variable Hours given the five other input variables. Data is from Table 3.8 of Myers (1990). See also Examples 3.8, 4.5, 8.8.
Usage
1 |
Format
A data frame with 17 observations. The output variable is Hours and the inputs are Load, Xray, BedDays, AreaPop and Stay. The site 1 through 17 is indicated by the row name.
Loada numeric vector
Xraya numeric vector
BedDaysa numeric vector
AreaPopa numeric vector
Staya numeric vector
Hoursa numeric vector
Details
This data illustrates the multicollinearity problem and the use of VIF to identify it. It provides an illustrative example for ridge regression and more modern methods such as lasso and lars.
Source
Myers (1990) indicates the source was "Procedures and Analysis for Staffing Standards Development: Data/Regression Analysis Handbook", Navy Manpower and Material Analysis Center, San Diego, 1979.
References
Myers, R. (1990). Classical and Modern Regression with Applications. The Duxbury Advanced Series in Statistics and Decision Sciences. Boston: PWS-KENT Publishing Company.
Examples
1 |
Example output
Loading required package: leaps
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