dspop: Direct Standardization: Population
In CVXR: Disciplined Convex Optimization
dspop R Documentation
Direct Standardization: Population
Description
Randomly generated data for direct standardization example.
Sex was drawn from a Bernoulli distribution, and age was drawn from a uniform distribution on 10,\ldots,60.
The response was drawn from a normal distribution with a mean that depends on sex and age, and a variance of 1.
Usage
dspop
Format
A data frame with 1000 rows and 3 variables:
- y
Response variable
- sex
Sex of individual, coded male (0) and female (1)
- age
Age of individual
See Also
dssamp
CVXR documentation built on June 27, 2024, 5:11 p.m.
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| dspop | R Documentation |
Direct Standardization: Population
Description
Randomly generated data for direct standardization example.
Sex was drawn from a Bernoulli distribution, and age was drawn from a uniform distribution on 10,\ldots,60.
The response was drawn from a normal distribution with a mean that depends on sex and age, and a variance of 1.
Usage
dspop
Format
A data frame with 1000 rows and 3 variables:
- y
Response variable
- sex
Sex of individual, coded male (0) and female (1)
- age
Age of individual
See Also
dssamp
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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