hmean

hmean.default

Implements functions for comparing strings, sequences and
numeric vectors for clustering and record linkage applications.
Supported comparison functions include: generalized edit distances
for comparing sequences/strings, Monge-Elkan similarity for fuzzy
comparison of token sets, and L-p distances for comparing numeric
vectors. Where possible, comparison functions are implemented in
C/C++ to ensure good performance.

Neil Marchant

comparator

Comparison Functions for Clustering and Record Linkage

hmean function

<dl><dt>x</dt>
<dd>An R object. Currently there are methods for numeric/logical
vectors and date, date-time and time interval objects. Complex vectors
are allowed for <code>trim = 0</code>, only.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>
<dt>trim</dt>
<dd>the fraction (0 to 0.5) of observations to be trimmed from each
end of <code>x</code> before the mean is computed. Values of trim outside that range
are taken as the nearest endpoint.</dd>
<dt>na.rm</dt>
<dd>a logical value indicating whether <code>NA</code> values should be
stripped before the computation proceeds.</dd></dl>

Arguments

Harmonic Mean — hmean

<dl>

<dt>x</dt>
<dd>An R object. Currently there are methods for numeric/logical
vectors and date, date-time and time interval objects. Complex vectors
are allowed for <code>trim = 0</code>, only.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>


<dt>trim</dt>
<dd>the fraction (0 to 0.5) of observations to be trimmed from each
end of <code>x</code> before the mean is computed. Values of trim outside that range
are taken as the nearest endpoint.</dd>


<dt>na.rm</dt>
<dd>a logical value indicating whether <code>NA</code> values should be
stripped before the computation proceeds.</dd>

</dl>

hmean: Harmonic Mean

Description

Usage

Value

Arguments

See Also

Examples