VerbAggWide: Verbal Aggression Data in a Wide Format
In eirm: Explanatory Item Response Modeling for Dichotomous and Polytomous Items
Description
Usage
Format
Source
Description
The Verbal Aggression data set is a wide-format version of the VerbAgg data set in the lme4 package (Bates, Maechler, Bolker, & Walker, 2015) in R.
Usage
1
Format
A data frame with 316 participants and 27 variables.
The original Verbal Agression data set was in a long format where items are nested within respondents. VerbAggWide is a wide-format version of the original data set. The first three variables are 'id' as the respondent ID, 'Anger' as the respondents' anger scores, and 'Gender' is the respondents' gender (M: male; F: Female). The remaining columns are the respondents' responses to the Verbal aggression items (0: No; 1: Perhaps; 2: Yes). For more information about the data set, see http://bear.soe.berkeley.edu/EIRM/.
Source
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. doi:10.18637/jss.v067.i01.
eirm documentation built on Oct. 25, 2021, 9:11 a.m.
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Description Usage Format Source
Description
The Verbal Aggression data set is a wide-format version of the VerbAgg data set in the lme4 package (Bates, Maechler, Bolker, & Walker, 2015) in R.
Usage
1 |
Format
A data frame with 316 participants and 27 variables.
The original Verbal Agression data set was in a long format where items are nested within respondents. VerbAggWide is a wide-format version of the original data set. The first three variables are 'id' as the respondent ID, 'Anger' as the respondents' anger scores, and 'Gender' is the respondents' gender (M: male; F: Female). The remaining columns are the respondents' responses to the Verbal aggression items (0: No; 1: Perhaps; 2: Yes). For more information about the data set, see http://bear.soe.berkeley.edu/EIRM/.
Source
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. doi:10.18637/jss.v067.i01.
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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