ratings_missing: A simulated dataset with 350 cases judged by 5 judges, using...
In jrt: Item Response Theory Modeling and Scoring for Judgment Data
ratings_missing R Documentation
A simulated dataset with 350 cases judged by 5 judges, using a planned missingness design.
Description
A simulated dataset with 350 cases judged by 5 judges, using a planned missingness design.
Usage
ratings_missing
Format
A data.frame with 350 rows (cases) and 5 columns (judges):
- Judge_1
Judgments of judge 1
- Judge_2
Judgments of judge 2
- Judge_3
Judgments of judge 3
- Judge_4
Judgments of judge 4
- Judge_5
Judgments of judge 5
- true_theta
True value of theta used for simulation.
jrt documentation built on Aug. 8, 2025, 7:30 p.m.
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| ratings_missing | R Documentation |
A simulated dataset with 350 cases judged by 5 judges, using a planned missingness design.
Description
A simulated dataset with 350 cases judged by 5 judges, using a planned missingness design.
Usage
ratings_missing
Format
A data.frame with 350 rows (cases) and 5 columns (judges):
- Judge_1
Judgments of judge 1
- Judge_2
Judgments of judge 2
- Judge_3
Judgments of judge 3
- Judge_4
Judgments of judge 4
- Judge_5
Judgments of judge 5
- true_theta
True value of theta used for simulation.
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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