add_time_function_vars: Creates linear time-function variables
In SimTimeVar: Simulate Longitudinal Dataset with Time-Varying Correlated Covariates
Description
Usage
Arguments
Details
Description
Given variable-specific slopes and intercepts for a cluster, creates continuous variables that
increase or
decrease linearly in time (with normal error with standard deviation error.SD) and
adds them to the dataframe.
Usage
1
add_time_function_vars(d4, obs, parameters)
Arguments
d4
The dataframe to which to add the time-function variables.
obs
The number of observations per cluster.
parameters
The parameters matrix.
Details
See make_one_dataset for additional information.
SimTimeVar documentation built on May 2, 2019, 8:31 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.
Description Usage Arguments Details
Description
Given variable-specific slopes and intercepts for a cluster, creates continuous variables that
increase or
decrease linearly in time (with normal error with standard deviation error.SD) and
adds them to the dataframe.
Usage
1 | add_time_function_vars(d4, obs, parameters)
|
Arguments
d4 |
The dataframe to which to add the time-function variables. |
obs |
The number of observations per cluster. |
parameters |
The parameters matrix. |
Details
See make_one_dataset for additional information.
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.