AssignCovariatesNormBinDefault: Create independent covariates by default method
In kaz-yos/distributed: Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network
Description
Usage
Arguments
Value
Author(s)
View source: R/01.GenerateData.R
Description
The first covariate is a Normal(0,1) random variable, whereas the other covariates are Bernoulli(p) random variables where p's are specified by the elements of the pp vector.
Usage
1
Arguments
n
number of individuals to create
p
number of covariates
Value
n x (p+1) data frame including ID and p covariates
Author(s)
Kazuki Yoshida
kaz-yos/distributed documentation built on May 27, 2019, 4:50 a.m.
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Description Usage Arguments Value Author(s)
View source: R/01.GenerateData.R
Description
The first covariate is a Normal(0,1) random variable, whereas the other covariates are Bernoulli(p) random variables where p's are specified by the elements of the pp vector.
Usage
1 |
Arguments
n |
number of individuals to create |
p |
number of covariates |
Value
n x (p+1) data frame including ID and p covariates
Author(s)
Kazuki Yoshida
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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