coffee: Artifcial data set on Coffee Consumption, Heart Damage Index...
In p3d: Plot 3d data and fitted surfaces
Description
Usage
Format
References
Examples
Description
Artifical data on 20 subjects to illustrate issues of causality with observational data
Usage
1
Format
A data frame with 20 observations on the following 5 variables.
Occupationa factor with levels Grad_Student Professor Student
CoffeeIndex of coffee consumption
StressIndex of stress
HeartHeart Index: higher indicates a less healthy heart
Stress2Index of stress that is less reliable than 'Stress'
References
Monette, G. (1990), Geometry of Multiple Regression and Interactive 3-D Graphics, In Fox, J. & Long, S. (ed.),
Modern Methods of Data Analysis, Sage Publications, 209-256.
Examples
1
2
p3d documentation built on May 2, 2019, 5:25 p.m.
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Description Usage Format References Examples
Description
Artifical data on 20 subjects to illustrate issues of causality with observational data
Usage
1 |
Format
A data frame with 20 observations on the following 5 variables.
Occupationa factor with levels
Grad_StudentProfessorStudentCoffeeIndex of coffee consumption
StressIndex of stress
HeartHeart Index: higher indicates a less healthy heart
Stress2Index of stress that is less reliable than 'Stress'
References
Monette, G. (1990), Geometry of Multiple Regression and Interactive 3-D Graphics, In Fox, J. & Long, S. (ed.), Modern Methods of Data Analysis, Sage Publications, 209-256.
Examples
1 2 |
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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