peaks.df.norm.100

Normalized force values describing the shapes of all 5 strongest peaks
per species of <code>df.all</code>, reduced to 100 observations per measurement.

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.100 function

A data frame with 2000 rows and 6 columns:<dl>
<dt>species</dt>
<dd>species names</dd><dt>measurement</dt>
<dd>measurement names</dd><dt>specimen</dt>
<dd>specimen names</dd><dt>peak</dt>
<dd>peak numbers</dd><dt>index</dt>
<dd>values from 1:100 in each measurement</dd><dt>force.norm.100</dt>
<dd>normalized values reduced to 100 observations per
measurement, in N</dd>
</dl>

Format

Normalized Peak Shapes with 100 Observations — peaks.df.norm.100

A data frame with 2000 rows and 6 columns:<dl>
<dt>species</dt>
<dd>species names</dd>

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

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

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

<dt>index</dt>
<dd>values from 1:100 in each measurement</dd>

<dt>force.norm.100</dt>
<dd>normalized values reduced to 100 observations per
measurement, in N</dd>


</dl>

peaks.df.norm.100: Normalized Peak Shapes with 100 Observations

Description

Usage

Arguments

Format

Details