# plotExpectAvail: plot the graph for the expected availability In MRTSampleSize: A Sample Size Calculator for Micro-Randomized Trials

## Description

plot of the graphs for the expected availability, i.e., the expected probability that a participant is available to receive treatment at a decision time. when the pattern for the expected availability is constant, linear or quadractic.

## Usage

 ```1 2 3 4 5 6 7 8``` ```plotExpectAvail( days, occ_per_day, tau_shape, tau_mean, tau_initial, tau_quadratic_max ) ```

## Arguments

 `days` Duration of the study. `occ_per_day` Number of decision time points per day. `tau_shape` The pattern for expected availability, choices are constant, linear or quadratic. Note: Constant The expected availability stays constant over the study. Linear A linearly increasing pattern of expected availability might be used if participants will find the intervention useful and thus more likely to turn the intervention on. A linearly decreasing pattern of expected availability might be used if participants learn more about the intervetion and get bored through the course of the study and thus getting less likely to turn on the invervention. Quadratic A quadratic pattern of availability. Here the changing point of availability refers to day of either maximal of minimal availability, depending on the input values of initial and average availability. `tau_mean` Average of expected availability. `tau_initial` Initial Value of expected availability when tau_shape is linear or quadratic. `tau_quadratic_max` Changing point of availability when tau_shape is quadratic.

## Value

A graph for expected availability.

## Examples

 ```1 2 3 4 5 6``` ``` plotExpectAvail(days=42, occ_per_day=5, tau_shape="quadratic", tau_mean=0.5, tau_initial=0.7, tau_quadratic_max=42) ```

MRTSampleSize documentation built on Sept. 13, 2020, 5:16 p.m.