proportional_data

Contains 3 Control Samples and 7 Test Samples.

internal

Data Analysis using Bootstrap-Coupled ESTimation. Estimation
statistics is a simple framework that avoids the pitfalls of
significance testing. It uses familiar statistical concepts: means,
mean differences, and error bars. More importantly, it focuses on the
effect size of one's experiment/intervention, as opposed to a false
dichotomy engendered by P values. An estimation plot has two key
features: 1. It presents all datapoints as a swarmplot, which orders
each point to display the underlying distribution. 2. It presents the
effect size as a bootstrap 95% confidence interval on a separate but
aligned axes. Estimation plots are introduced in Ho et al., Nature
Methods 2019, 1548-7105. <doi:10.1038/s41592-019-0470-3>. The
free-to-view PDF is located at
<https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.

Yishan Mai

dabestr

Data Analysis using Bootstrap-Coupled Estimation

Joses W. Ho

Kah Seng Lian

Ana Rosa Castillo

Zhuoyu Wang

Jun Yang Liao

Felicia Low

Tayfun Tumkaya

Jonathan Anns

Sangyu Xu

Hyungwon Choi

Adam Claridge-Chang

ACCLAB 

proportional_data function

A data frame with 400 rows and 4 variables:<dl>
<dt>Gender</dt>
<dd>Gender of each observation</dd><dt>ID</dt>
<dd>Identity of each observation</dd><dt>Group</dt>
<dd>Which control group or test it is</dd><dt>Success</dt>
<dd>1 (Success) or 0 (Failure)</dd>
</dl>

Format

Numerical Binary data for Proportion Plots — proportional_data

A data frame with 400 rows and 4 variables:<dl>
<dt>Gender</dt>
<dd>Gender of each observation</dd>

<dt>ID</dt>
<dd>Identity of each observation</dd>

<dt>Group</dt>
<dd>Which control group or test it is</dd>

<dt>Success</dt>
<dd>1 (Success) or 0 (Failure)</dd>


</dl>

Numerical Binary data for Proportion Plots

proportional_data: Numerical Binary data for Proportion Plots

Description

Usage

Arguments

Format

Examples