df4: Simulated proportionality data
In AFIT-R/ordr: Surrogate Residuals for Ordinal and General Regression Models
df4 R Documentation
Simulated proportionality data
Description
Data simulated from from two separate probit models. The data are described
in Example 5 of Liu and Zhang (2017).
Usage
data(df4)
Format
A data frame with 4000 rows and 2 variables.
-
x The predictor variable.
-
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
head(df4)
AFIT-R/ordr documentation built on April 13, 2025, 5:14 a.m.
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.
| df4 | R Documentation |
Simulated proportionality data
Description
Data simulated from from two separate probit models. The data are described in Example 5 of Liu and Zhang (2017).
Usage
data(df4)
Format
A data frame with 4000 rows and 2 variables.
-
xThe predictor variable. -
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
head(df4)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.