df.all.200.tax

A series of 24 measurements with six simulated peaks each.
Simulated using the <code>simulate_bites()</code> function and translated into force
values with <code>y_to_force()</code>. Fits the <code>classifier</code> sheet that
is also part of the <code>forceR</code> package.

datasets

For cleaning and analysis of graphs, such as animal closing force
measurements.
'forceR' was initially written and optimized to deal with insect bite force
measurements, but can be used for any time series. Includes a full workflow
to load, plot and crop data, correct amplifier and baseline drifts,
identify individual peak shapes (bites), rescale (normalize) peak curves,
and find best polynomial fits to describe and analyze force curve shapes.

Peter Rc3<bc>hr

forceR

Force Measurement Analyses

Peter T. Rühr

Alexander Blanke

df.all.200.tax function

A data frame with 1,944 rows and 5 columns:<dl>
<dt>species</dt>
<dd>species names</dd><dt>specimen</dt>
<dd>specimen names</dd><dt>measurement</dt>
<dd>measurement names</dd><dt>t</dt>
<dd>time, in ms</dd><dt>force</dt>
<dd>measured values, in N</dd>
</dl>

Format

Simulated Force Measurements with Taxonomic Info. — df.all.200.tax

A data frame with 1,944 rows and 5 columns:<dl>
<dt>species</dt>
<dd>species names</dd>

<dt>specimen</dt>
<dd>specimen names</dd>

<dt>measurement</dt>
<dd>measurement names</dd>

<dt>t</dt>
<dd>time, in ms</dd>

<dt>force</dt>
<dd>measured values, in N</dd>


</dl>

df.all.200.tax: Simulated Force Measurements with Taxonomic Info.

Description

Usage

Arguments

Format