select_low_high_units

Automatically selects low-high units in a tibble as well as assigns them into groups

Powerful graphical displays and statistical tools for structured problem solving and diagnosis.
The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique.
The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays
built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as
adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file.
References:
David Hartshorne (2019, ISBN: 978-1-5272-5139-7).
Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).

Gabor Szabo

sherlock

Graphical Displays for Structured Problem Solving and Diagnosis

select_low_high_units function

<dl><dt>data</dt>
<dd>input dataset (required)</dd>
<dt>var</dt>
<dd>variable of interest (required)</dd>
<dt>number_of_pairs</dt>
<dd>Number of low-high pairs to be created. Takes a numeric value (required)</dd></dl>

Arguments

Select Low-High Units — select_low_high_units

<dl>

<dt>data</dt>
<dd>input dataset (required)</dd>


<dt>var</dt>
<dd>variable of interest (required)</dd>


<dt>number_of_pairs</dt>
<dd>Number of low-high pairs to be created. Takes a numeric value (required)</dd>

</dl>

select_low_high_units: Select Low-High Units

Description

Usage

Value

Arguments