CorrelationCircle

Circle of correlations among the manifiest variables and the principal comonents (or dimensions of any biplot).

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Jose Vicente-Villardon

MultBiplotR

Multivariate Analysis Using Biplots in R

CorrelationCircle function

<dl> <dt>bip</dt>
<dd>an biplot object of any kind.</dd> <dt>A1</dt>
<dd>First dimension for the representation</dd> <dt>A2</dt>
<dd>Second dimension for the representation</dd> <dt>Colors</dt>
<dd>Colors of the variables</dd> <dt>Labs</dt>
<dd>Labels of the variables</dd> <dt>...</dt>
<dd>Any other graphical parameters</dd></dl>

Arguments

Author

Circle of correlations — CorrelationCircle

<dl>

 <dt>bip</dt>
<dd>an biplot object of any kind.</dd>

 <dt>A1</dt>
<dd>First dimension for the representation</dd>

 <dt>A2</dt>
<dd>Second dimension for the representation</dd>

 <dt>Colors</dt>
<dd>Colors of the variables</dd>

 <dt>Labs</dt>
<dd>Labels of the variables</dd>

 <dt>...</dt>
<dd>Any other graphical parameters</dd>

</dl>

CorrelationCircle: Circle of correlations

Description

Usage

Value

Arguments

Author

Details

Examples