huffaker_1963

A dataset containing the abundances mite species from some of the
Huffaker experiments.

datasets

A collection of tools and data for analyzing the Gause microcosm experiments, and for fitting Lotka-Volterra models to time series data. Includes methods for fitting single-species logistic growth, and multi-species interaction models, e.g. of competition, predator/prey relationships, or mutualism. See documentation for individual functions for examples. In general, see the lv_optim() function for examples of how to fit parameter values in multi-species systems. Note that the general methods applied here, as well as the form of the differential equations that we use, are described in detail in the Quantitative Ecology textbook by Lehman et al., available at <http://hdl.handle.net/11299/204551>, and in Lina K. Mühlbauer, Maximilienne Schulze, W. Stanley Harpole, and Adam T. Clark. 'gauseR': Simple methods for fitting Lotka-Volterra models describing Gause's 'Struggle for Existence' in the journal Ecology and Evolution.

Adam Clark

gauseR

Lotka-Volterra Models for Gause's 'Struggle for Existence'

Lina Mühlbauer

Maximilienne Schulze

huffaker_1963 function

A data frame with 168 rows and 6 variables:<dl>
 <dt>Paper</dt>
<dd>Paper from which data are drawn</dd> <dt>Figure</dt>
<dd>Figure number in paper</dd> <dt>Species</dt>
<dd>Species name</dd> <dt>Weeks</dt>
<dd>Experiment week</dd> <dt>Individuals</dt>
<dd>Number of individuals</dd> <dt>Treatment</dt>
<dd>60 vs. 24-week experiments</dd>
</dl>

Format

Huffaker Mite Data — huffaker_1963

A data frame with 168 rows and 6 variables:<dl>
 <dt>Paper</dt>
<dd>Paper from which data are drawn</dd>

 <dt>Figure</dt>
<dd>Figure number in paper</dd>

 <dt>Species</dt>
<dd>Species name</dd>

 <dt>Weeks</dt>
<dd>Experiment week</dd>

 <dt>Individuals</dt>
<dd>Number of individuals</dd>

 <dt>Treatment</dt>
<dd>60 vs. 24-week experiments</dd>


</dl>

huffaker_1963: Huffaker Mite Data

Description

Usage

Arguments

Format