crim4l: The CRIMOC data set in long format
In kkleinke/countimp: Multiple Imputation of incomplete count data
crim4l R Documentation
The CRIMOC data set in long format
Description
Dataset in long format, see Reinecke and Weins (2013) for details.
Usage
data(crim4l)
Format
A data frame with 8256 rows and 6 variables
Details
FEMALEGender indicator
REschool type dummy (intermediate branch)
GYschool type dummy (top level branch)
TIMETIME variable, indicating the respective panel wave (0,1,2,3); 0 is the first wave
DELINQDelinquency score in long format
IDParticipant identifier (here: cluster ID)
References
Reinecke, J., & Weins, C. (2013). The development of delinquency during adolescence: a comparison of missing data techniques. Quality & Quantity, 47(6), 3319–3334.
kkleinke/countimp documentation built on Nov. 5, 2024, 11:51 a.m.
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| crim4l | R Documentation |
The CRIMOC data set in long format
Description
Dataset in long format, see Reinecke and Weins (2013) for details.
Usage
data(crim4l)
Format
A data frame with 8256 rows and 6 variables
Details
FEMALEGender indicator
REschool type dummy (intermediate branch)
GYschool type dummy (top level branch)
TIMETIME variable, indicating the respective panel wave (0,1,2,3); 0 is the first wave
DELINQDelinquency score in long format
IDParticipant identifier (here: cluster ID)
References
Reinecke, J., & Weins, C. (2013). The development of delinquency during adolescence: a comparison of missing data techniques. Quality & Quantity, 47(6), 3319–3334.
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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