fakeLogit: Fake Data for a Logistic Regression
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fakeLogit R Documentation
Fake Data for a Logistic Regression
Description
This is a simple fake data set to illustrate a logistic regression.
Usage
fakeLogit
Format
A data frame with 10000 observations on the following 2 variables.
xa five-item functionally ordered categorical variable
ya binary variable that is either 0 or 1
Details
The data are generated such that the outcome y is a logistic
function of the x variable and come from a rbinom() call. The
estimated natural logged odds of y when x is 0 is -2.8. Each
unit increase in x is simulated to increase the natural logged odds of
y by 1.4. This example is very much patterned off a similar fake data
set that Pollock (2012) uses to teach about logistic regression. In his case,
x is a stand-in for hypothetical education categories and y is
whether this fake person voted or not.
stevedata documentation built on Aug. 8, 2025, 6:16 p.m.
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| fakeLogit | R Documentation |
Fake Data for a Logistic Regression
Description
This is a simple fake data set to illustrate a logistic regression.
Usage
fakeLogit
Format
A data frame with 10000 observations on the following 2 variables.
xa five-item functionally ordered categorical variable
ya binary variable that is either 0 or 1
Details
The data are generated such that the outcome y is a logistic
function of the x variable and come from a rbinom() call. The
estimated natural logged odds of y when x is 0 is -2.8. Each
unit increase in x is simulated to increase the natural logged odds of
y by 1.4. This example is very much patterned off a similar fake data
set that Pollock (2012) uses to teach about logistic regression. In his case,
x is a stand-in for hypothetical education categories and y is
whether this fake person voted or not.
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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