plot.plcp

An object of class <code>plcp</code>.

specifies which row <code>n</code> should be used if <code>object</code>
is a <code>data.frame</code> containing multiple setups.

indicated what plot to show. If <code>effect</code> the plot showing the treatment groups
change over time will be shown, if <code>dropout</code> the missing data pattern will be shown,
if <code>both</code> both plots will be shown.

type

Plot method for <code>study_parameters</code>-objects

Calculate power for the 'time x treatment' effect
in two- and three-level multilevel longitudinal studies with missing data.
Both the third-level factor (e.g. therapists, schools, or physicians),
and the second-level factor (e.g. subjects), can be assigned random slopes.
Studies with partially nested designs, unequal cluster sizes,
unequal allocation to treatment arms, and different dropout patterns
per treatment are supported. For all designs power can be
calculated both analytically and via simulations. The analytical
calculations extends the method described in Galbraith et al. (2002)
<doi:10.1016/S0197-2456(02)00205-2>, to three-level models.
Additionally, the simulation tools provides flexible ways to investigate
bias, Type I errors and the consequences of model misspecification.

plot.plcp: Plot method for `study_parameters`-objects

Description

Usage

Arguments