ri: A simple simulated data set for calculating p-values
In causaldata: Example Data Sets for Causal Inference Textbooks
Description
Usage
Format
Details
Source
References
Description
This simulated data allows for a quick and easy calculation of a p-value using randomization inference.
Usage
1
Format
A data frame with 8 rows and 5 variables
- name
Fictional Name
- d
Treatment
- y
Outcome
- y0
Outcome if untreated
- y1
Outcome if treated
Details
This data is used in the Potential Outcomes Causal Model chapter of Causal Inference: The Mixtape by Cunningham.
Source
Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.
References
Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.
causaldata documentation built on Dec. 11, 2021, 9:20 a.m.
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Description Usage Format Details Source References
Description
This simulated data allows for a quick and easy calculation of a p-value using randomization inference.
Usage
1 |
Format
A data frame with 8 rows and 5 variables
- name
Fictional Name
- d
Treatment
- y
Outcome
- y0
Outcome if untreated
- y1
Outcome if treated
Details
This data is used in the Potential Outcomes Causal Model chapter of Causal Inference: The Mixtape by Cunningham.
Source
Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.
References
Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.
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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