missing.specimens

Randomly selects a pre-determined number of specimens from a landmark dataset (2D or 3D) and removes some of their landmarks.

Functions for simulating missing morphometric
data randomly, with taxonomic bias and with anatomical bias. LOST also
includes functions for estimating linear and geometric morphometric data.

J. Arbour

LOST

Missing Morphometric Data Simulation and Estimation

C. Brown

missing.specimens function

<dl> <dt>dataset</dt>
<dd>A n*l X 2 (or 3) matrix of coordinate data, where n is the number of specimens and l is the number of landmarks. All landmarks from one specimen should be grouped together.</dd> <dt>nspremove</dt>
<dd>The number of specimens which should have landmarks removed.</dd> <dt>nldremove</dt>
<dd>The number of landmarks to remove per specimen. This may be a single value or a vector of values, none of which can be &gt;nlandmarks. If a vector is given, for each specimen selected, the function will randomly select a value from the vector and remove that many landmarks.</dd> <dt>nlandmarks</dt>
<dd>The number of landmarks per specimen</dd></dl>

Arguments

Author

Simulate incomplete specimens — missing.specimens

<dl>

 <dt>dataset</dt>
<dd>A n*l X 2 (or 3) matrix of coordinate data, where n is the number of specimens and l is the number of landmarks. All landmarks from one specimen should be grouped together.</dd>

 <dt>nspremove</dt>
<dd>The number of specimens which should have landmarks removed.</dd>

 <dt>nldremove</dt>
<dd>The number of landmarks to remove per specimen. This may be a single value or a vector of values, none of which can be &gt;nlandmarks. If a vector is given, for each specimen selected, the function will randomly select a value from the vector and remove that many landmarks.</dd>

 <dt>nlandmarks</dt>
<dd>The number of landmarks per specimen</dd>

</dl>

missing.specimens: Simulate incomplete specimens

Description

Usage

Value

Arguments

Author

References

See Also