fakeLogit {stevedata} | 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.
x
a five-item functionally ordered categorical variable
y
a 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.
[Package stevedata version 1.3.0 Index]