summary.plcp_multi_sim: Summarize simulations based on a combination of multiple...

Description Usage Arguments Value

View source: R/simulate.R

Description

Summarize simulations based on a combination of multiple parameter values

Usage

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## S3 method for class 'plcp_multi_sim'
summary(object, para = "time:treatment",
  model = NULL, alpha = 0.05, model_selection = NULL,
  LRT_alpha = 0.1, ...)

Arguments

object

A multiple simulation object created with simulate.plcp_multi

para

The name of the fixed or random effect that should be summarized.

model

Specifies which model that should be summarized. Accepts either a character with the name used in sim_formula_compare, or an integer value.

alpha

Indicates the significance level. Default is 0.05 (two-tailed), one-tailed tests are not yet implemented.

model_selection

Indicates if model selection should be performed. If NULL (default), all models are returned, if FW or BW model selection is performed using LRT, and the result is based on the selected model from each simulation. See summary.plcp_sim for more information.

LRT_alpha

Indicates the alpha level used when comparing models during model selection.

...

Optional arguments.

Value

A list with class plcp_multi_sim_summary. It can be coursed to a data.frame, using as.data.frame. Each row summarizes one of the parameter combinations used in the simulation. In addition to the setup parameter values, it contains the following columns:


rpsychologist/powerlmm documentation built on Aug. 17, 2018, 7:57 a.m.