df.all.200

A series of 24 measurements with six simulated peaks each.
Simulated using the <code>simulate_bites()</code> function. Reduced to a sampling
frequency of 200 Hz with <code>reduce_frq()</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 function

A data frame with 1,944 rows and 3 columns:<dl>
<dt>t</dt>
<dd>time, in ms</dd><dt>y</dt>
<dd>measured values, in V</dd><dt>measurement</dt>
<dd>measurement names</dd>
</dl>

Format

Simulated Time Series - e.g. Bite Force Measurements — df.all.200

A data frame with 1,944 rows and 3 columns:<dl>
<dt>t</dt>
<dd>time, in ms</dd>

<dt>y</dt>
<dd>measured values, in V</dd>

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


</dl>

df.all.200: Simulated Time Series - e.g. Bite Force Measurements

Description

Usage

Arguments

Format