agram: Scattergram visualization of associations between all pairs...

In matie: Measuring Association and Testing Independence Efficiently

Description

Uses the association array generated by tap to construct an array of association diagrams (pie charts and scatterplots).

Usage

agram(dataSet, method, ranking, order, ...)

Arguments

dataSet	the n x m data frame representing n samples of the m variables.
method	the method to use for linear association (included in the visualization) as performed by cor, one of "pearson", "spearman", "kendall". The default is "pearson".
ranking	a logical specifying whether or not to rank the data points before producing the scatter plots. The default is FALSE.
order	determines the variable ordering. one of FALSE (the default for no re-grouping) or "PC" (for principal components re-grouping) or "OLO" (for optimal leaf ordering)
...	passed on to graphics routines ...

Details

Displays associations between all pairs of variables as a graphics array using pie-charts above the diagonal depicting the proportion of the total association that can be explained by a linear trend in blue, and the remaining non-linear association in red.

Below the diagonal, scatter plots are shown and colored according to proportional non-linearity (see nl3 returned by ma.nl ).

Value

Returns nothing.

Note

The data set can be of any dimension.

Author(s)

Ben Murrell, Dan Murrell & Hugh Murrell.

References

This code was adapted from the corrgram package:

Author: Kevin Wright, Copyright: 2006 Kevin Wright, License: GPL2.

See Also

ma ma.nl tap

Examples

    data(baseballData)
    agram(baseballData,order="OLO",main="All pair associations for baseballData")

matie documentation built on May 2, 2019, 3:52 a.m.