basketball_data: Basketball data
In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics
Description
Example of counterfactual data, where we have two groups of athletes,
those who played basketball and control. Besides observed Height,
this data set provides potential-outcomes Height_0 and Height_1,
which represent counterfactuals. This data set was used to demonstrate
causal inference, average treatment effects and individual treatment effects
Usage
1
Format
A data frame with 30 rows and 6 variables:
- Athlete
Name of the athlete
- Treatment
Either Basketball or Control
- Height_0
Potential outcome (Height) if basketball was not played
- Height_1
Potential outcome (Height) if basketball was played
- Height
Observed Height
- Causal Effect
Difference between Height_1 and Height_0
mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.
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Description
Example of counterfactual data, where we have two groups of athletes,
those who played basketball and control. Besides observed Height,
this data set provides potential-outcomes Height_0 and Height_1,
which represent counterfactuals. This data set was used to demonstrate
causal inference, average treatment effects and individual treatment effects
Usage
1 |
Format
A data frame with 30 rows and 6 variables:
- Athlete
Name of the athlete
- Treatment
Either Basketball or Control
- Height_0
Potential outcome (Height) if basketball was not played
- Height_1
Potential outcome (Height) if basketball was played
- Height
Observed Height
- Causal Effect
Difference between
Height_1and Height_0
R Package Documentation
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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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