fishcatch

datasets

Implements projection pursuit forest algorithm for supervised classification.

Natalia Silva

PPforest

Projection Pursuit Classification Forest

Natalia da Silva

Dianne Cook

Eun-Kyung Lee

fishcatch function

There are 159 fishes of 7 species are caught and measured. Altogether there are
 7 variables. All the fishes are caught from the same lake(Laengelmavesi) near Tampere in Finland.<dl>
<dt>Type</dt>
<dd>has 7 fish classes, with 35 cases of Bream, 11 cases of Parkki, 56 cases of Perch, 17 cases of Pike, 20 cases of Roach, 14 cases of Smelt and 6 cases of Whitewish.</dd>
 
<dt>weight</dt>
<dd>Weight of the fish (in grams).</dd><dt>length1</dt>
<dd>Length from the nose to the beginning of the tail (in cm).</dd><dt>length2</dt>
<dd>Length from the nose to the notch of the tail (in cm).</dd><dt>length3</dt>
<dd>Length from the nose to the end of the tail (in cm).</dd><dt>height</dt>
<dd>Maximal height as % of Length3.</dd><dt>width</dt>
<dd>Maximal width as % of Length3.</dd>
</dl>A data frame with 159 rows and 7 variables

Format

Fish catch data set — fishcatch

There are 159 fishes of 7 species are caught and measured. Altogether there are
 7 variables. All the fishes are caught from the same lake(Laengelmavesi) near Tampere in Finland.<dl>
<dt>Type</dt>
<dd>has 7 fish classes, with 35 cases of Bream, 11 cases of Parkki, 56 cases of Perch, 17 cases of Pike, 20 cases of Roach, 14 cases of Smelt and 6 cases of Whitewish.</dd>
 
<dt>weight</dt>
<dd>Weight of the fish (in grams).</dd>

<dt>length1</dt>
<dd>Length from the nose to the beginning of the tail (in cm).</dd>

<dt>length2</dt>
<dd>Length from the nose to the notch of the tail (in cm).</dd>

<dt>length3</dt>
<dd>Length from the nose to the end of the tail (in cm).</dd>

<dt>height</dt>
<dd>Maximal height as % of Length3.</dd>

<dt>width</dt>
<dd>Maximal width as % of Length3.</dd>


</dl>

A data frame with 159 rows and 7 variables

Fish catch data set

fishcatch: Fish catch data set

Description

Usage

Arguments

Format