mv.shape.est

Shape matrix estimates using different score functions.

multivariate

nonparametric

Multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score are provided. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components. The methodology is described in Oja (2010) <doi:10.1007/978-1-4419-0468-3> and Nordhausen and Oja (2011) <doi:10.18637/jss.v043.i05>.

Klaus Nordhausen

Multivariate Nonparametric Methods. An Approach Based on Spatial
Signs and Ranks

Jyrki Mottonen

Hannu Oja

mv.shape.est function

<dl> <dt>X</dt>
<dd>a numeric data frame or matrix.</dd> <dt>score</dt>
<dd>score to be used. Can be either <code>"identity"</code>, <code>"sign"</code>, <code>"symmsign"</code> or <code>"rank"</code>.</dd> <dt>estimate</dt>
<dd>can be <code>"outer"</code> or <code>"inner"</code>.</dd> <dt>location</dt>
<dd>If NULL the location vector is estimated. Alternatively a numeric p vector of location.</dd> <dt>na.action</dt>
<dd>a function which indicates what should happen when
 the data contain 'NA's. Default is to fail.</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Author

Shape Matrices — mv.shape.est

<dl>

 <dt>X</dt>
<dd>a numeric data frame or matrix.</dd>

 <dt>score</dt>
<dd>score to be used. Can be either <code>"identity"</code>, <code>"sign"</code>, <code>"symmsign"</code> or <code>"rank"</code>.</dd>

 <dt>estimate</dt>
<dd>can be <code>"outer"</code> or <code>"inner"</code>.</dd>

 <dt>location</dt>
<dd>If NULL the location vector is estimated. Alternatively a numeric p vector of location.</dd>

 <dt>na.action</dt>
<dd>a function which indicates what should happen when
 the data contain 'NA's. Default is to fail.</dd>

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

</dl>

mv.shape.est: Shape Matrices

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples