flea


Six measurements on each of three species of flea-beetles: concinna, heptapotamica, and heikertingeri.


datasets

Functions, methods, and data sets for fitting likelihood-based dimension reduction in regression, using principal fitted components (pfc), likelihood acquired directions (lad), covariance reducing models (core).

Kofi Adragni

Methods for likelihood-based dimension reduction in regression

flea function

A data frame with 74 observations on the following 7 variables.
  <dl>
    <dt><code>species</code></dt><dd>a factor with levels <code>Concinna</code>, <code>Heikert.</code>, and <code>Heptapot.</code></dd> <dt><code>tars1</code></dt><dd>width of the first joint of the first tarsus in microns 
        (the sum of measurements for both tarsi).</dd> <dt><code>tars2</code></dt><dd>the same for the second joint.</dd> <dt><code>head</code></dt><dd>the maximal width of the head between the external edges of the
        eyes in 0.01 mm.</dd> <dt><code>aede1</code></dt><dd>the maximal width of the aedeagus in the fore-part in microns.</dd> <dt><code>aede2</code></dt><dd>the front angle of the aedeagus (1 unit = 7.5 degrees).</dd> <dt><code>aede3</code></dt><dd>the aedeagus width from the side in microns.</dd> </dl> 

Format

Lubischew, AA "On the Use of Discriminant Functions in Taxonomy", Biometrics, Dec. 1962, pp. 455-477.

flea: Flea-beetles data

Description

Usage

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Format

Source

References

Examples