make_y_scale

Used internally. Prepares the y-axis scale for history/status plots.
Requires the <code>ggplot2</code> package installed.

internal

Package that simulates adaptive (multi-arm, multi-stage) clinical
trials using adaptive stopping, adaptive arm dropping, and/or adaptive
randomisation. Developed as part of the INCEPT (Intensive Care Platform
Trial) project (<https://incept.dk/>), primarily supported by a grant
from Sygeforsikringen "danmark" (<https://www.sygeforsikring.dk/>).

Anders Granholm

adaptr

Adaptive Trial Simulator

Benjamin Skov Kaas-Hansen

Aksel Karl Georg Jensen

Theis Lange

make_y_scale function

<dl><dt>y_value</dt>
<dd>single character string, determining which values are plotted
on the y-axis. The following options are available: allocation
probabilities (<code>"prob"</code>, default), the total number of patients with
outcome data available (<code>"n"</code>) or randomised (<code>"n all"</code>) to each arm,
the percentage of patients with outcome data available (<code>"pct"</code>) or
randomised (<code>"pct all"</code>) to each arm out of the current total, the sum of
all available (<code>"sum ys"</code>) outcome data or all outcome data for randomised
patients including outcome data not available at the time of the current
adaptive analysis (<code>"sum ys all"</code>), the ratio of outcomes as defined for
<code>"sum ys"</code>/<code>"sum ys all"</code> divided by the corresponding number of patients
in each arm.</dd></dl>

Arguments

Make y-axis scale for history/status plots — make_y_scale

<dl>

<dt>y_value</dt>
<dd>single character string, determining which values are plotted
on the y-axis. The following options are available: allocation
probabilities (<code>"prob"</code>, default), the total number of patients with
outcome data available (<code>"n"</code>) or randomised (<code>"n all"</code>) to each arm,
the percentage of patients with outcome data available (<code>"pct"</code>) or
randomised (<code>"pct all"</code>) to each arm out of the current total, the sum of
all available (<code>"sum ys"</code>) outcome data or all outcome data for randomised
patients including outcome data not available at the time of the current
adaptive analysis (<code>"sum ys all"</code>), the ratio of outcomes as defined for
<code>"sum ys"</code>/<code>"sum ys all"</code> divided by the corresponding number of patients
in each arm.</dd>

</dl>

make_y_scale: Make y-axis scale for history/status plots

Description

Usage

Value

Arguments