mesquite: Mesquite data set
In projpred: Projection Predictive Feature Selection
mesquite R Documentation
Mesquite data set
Description
The mesquite bushes yields dataset from Gelman and Hill (2006)
(http://www.stat.columbia.edu/~gelman/arm/).
Usage
mesquite
Format
The response variable is the total weight (in grams) of
photosynthetic material as derived from actual harvesting of the bush. The
predictor variables are:
- diam1
diameter of the canopy (the leafy area of the bush) in meters,
measured along the longer axis of the bush.
- diam2
canopy diameter measured along the shorter axis.
- canopy height
height of the canopy.
- total height
total height of the bush.
- density
plant unit density (# of primary stems per plant unit).
- group
group of measurements (0 for the first group, 1 for the second
group).
Source
http://www.stat.columbia.edu/~gelman/arm/examples/mesquite/mesquite.dat
References
Gelman, Andrew, and Jennifer Hill. 2006. Data Analysis Using
Regression and Multilevel/Hierarchical Models. Cambridge, UK: Cambridge
University Press. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1017/CBO9780511790942")}.
projpred documentation built on May 29, 2024, 5:31 a.m.
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| mesquite | R Documentation |
Mesquite data set
Description
The mesquite bushes yields dataset from Gelman and Hill (2006) (http://www.stat.columbia.edu/~gelman/arm/).
Usage
mesquite
Format
The response variable is the total weight (in grams) of photosynthetic material as derived from actual harvesting of the bush. The predictor variables are:
- diam1
diameter of the canopy (the leafy area of the bush) in meters, measured along the longer axis of the bush.
- diam2
canopy diameter measured along the shorter axis.
- canopy height
height of the canopy.
- total height
total height of the bush.
- density
plant unit density (# of primary stems per plant unit).
- group
group of measurements (0 for the first group, 1 for the second group).
Source
http://www.stat.columbia.edu/~gelman/arm/examples/mesquite/mesquite.dat
References
Gelman, Andrew, and Jennifer Hill. 2006. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge, UK: Cambridge University Press. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1017/CBO9780511790942")}.
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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