peaks.df.norm

Normalized force values describing the shapes of all 5 strongest peaks
per species of <code>df.all</code>

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

peaks.df.norm function

A data frame with 223 rows and 6 columns:<dl>
<dt>measurement</dt>
<dd>measurement names</dd><dt>peak</dt>
<dd>peak numbers</dd><dt>t.norm</dt>
<dd>time values from 0:1 in each measurement, in ms</dd><dt>force.norm</dt>
<dd>force values from 0:1 in each measurement, in N</dd><dt>species</dt>
<dd>species names</dd><dt>specimen</dt>
<dd>specimen names</dd>
</dl>

Format

Normalized Peak Shapes — peaks.df.norm

A data frame with 223 rows and 6 columns:<dl>
<dt>measurement</dt>
<dd>measurement names</dd>

<dt>peak</dt>
<dd>peak numbers</dd>

<dt>t.norm</dt>
<dd>time values from 0:1 in each measurement, in ms</dd>

<dt>force.norm</dt>
<dd>force values from 0:1 in each measurement, in N</dd>

<dt>species</dt>
<dd>species names</dd>

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


</dl>

peaks.df.norm: Normalized Peak Shapes

Description

Usage

Arguments

Format

Details