simulateModel: Simulate a new data set
In DejanDraschkow/mixedpower: Pilotdata based simulations for estimating power in linear mixed models
View source: R/simulation_functions.R
simulateModel R Documentation
Simulate a new data set
Description
simulateModel() builds a new model set with a specified number of
levels of a specified random effect.
Usage
simulateModel(model, data, n_want, simvar, fixed_effects)
Arguments
model
lme4 model: starting mixed model used for simulation
data
data frame: data used to inform the simulation
n_want
integer: how many levels should the new model be based on?
simvar
character element: name of the varaible containing
the random effect levels
fixed_effects
vector containing variable names used as fixed effects
Value
A modified mixed model
DejanDraschkow/mixedpower documentation built on Feb. 16, 2024, 7:58 a.m.
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View source: R/simulation_functions.R
| simulateModel | R Documentation |
Simulate a new data set
Description
simulateModel() builds a new model set with a specified number of
levels of a specified random effect.
Usage
simulateModel(model, data, n_want, simvar, fixed_effects)
Arguments
model |
lme4 model: starting mixed model used for simulation |
data |
data frame: data used to inform the simulation |
n_want |
integer: how many levels should the new model be based on? |
simvar |
character element: name of the varaible containing the random effect levels |
fixed_effects |
vector containing variable names used as fixed effects |
Value
A modified mixed model
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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