df5: Simulated interaction data
In AFIT-R/ordr: Surrogate Residuals for Ordinal and General Regression Models
Description
Usage
Format
References
Examples
Description
Data simulated from from an ordered probit model with an interaction effect.
Usage
1
Format
A data frame with 2000 rows and 3 variables.
-
x1 A continuous predictor variable.
-
x2 A factor with two levels: "Control" and
"Treatment".
-
y The response variable; an ordered factor.
References
Liu, Dungang and Zhang, Heping. Residuals and Diagnostics for Ordinal
Regression Models: A Surrogate Approach.
Journal of the American Statistical Association (accepted).
Examples
1
AFIT-R/ordr documentation built on Feb. 6, 2020, 1:17 a.m.
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Description Usage Format References Examples
Description
Data simulated from from an ordered probit model with an interaction effect.
Usage
1 |
Format
A data frame with 2000 rows and 3 variables.
-
x1A continuous predictor variable. -
x2A factor with two levels:"Control"and"Treatment". -
yThe response variable; an ordered factor.
References
Liu, Dungang and Zhang, Heping. Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach. Journal of the American Statistical Association (accepted).
Examples
1 |
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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