MDRS2016: Dataset MDRS2016.
In amayer2010/EffectLiteR: Average and Conditional Effects
MDRS2016 R Documentation
Dataset MDRS2016.
Description
The simulated dataset with latent variables used in Mayer, Dietzfelbinger, Rosseel, and Steyer (2016). The variables are:
Format
A data frame with 1000 rows and 10 variables.
Details
y11. First indicator of latent covariate (pretest mental health).
y21. Second indicator of latent covariate (pretest mental health).
y31. Third indicator of latent covariate (pretest mental health).
y12. First indicator of latent outcome (posttest mental health).
y22. Second indicator of latent outcome (posttest mental health).
y32. Third indicator of latent outcome (posttest mental health).
x. Categorical treatment variable with values 0 (wait list control group), 1 (conventional therapy), and 2 (innovative therapy).
k. Categorical covariate with values 0 (male) and 1 (female).
Ix1. Binary indicator for conventional therapy (X=1).
Ix2. Binary indicator for innovative therapy (X=2).
amayer2010/EffectLiteR documentation built on March 2, 2024, 9:19 p.m.
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| MDRS2016 | R Documentation |
Dataset MDRS2016.
Description
The simulated dataset with latent variables used in Mayer, Dietzfelbinger, Rosseel, and Steyer (2016). The variables are:
Format
A data frame with 1000 rows and 10 variables.
Details
y11. First indicator of latent covariate (pretest mental health).
y21. Second indicator of latent covariate (pretest mental health).
y31. Third indicator of latent covariate (pretest mental health).
y12. First indicator of latent outcome (posttest mental health).
y22. Second indicator of latent outcome (posttest mental health).
y32. Third indicator of latent outcome (posttest mental health).
x. Categorical treatment variable with values 0 (wait list control group), 1 (conventional therapy), and 2 (innovative therapy).
k. Categorical covariate with values 0 (male) and 1 (female).
Ix1. Binary indicator for conventional therapy (X=1).
Ix2. Binary indicator for innovative therapy (X=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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