POSAC-package: POSAC (Partial Order Scalogram Analysis with Base...
In CambridgeAssessmentResearch/POSAC: Partial order scalogram analysis
Description
Details
Author(s)
References
Description
POSAC (Partial Order Scalogram Analysis with Base Co-ordinates)
Details
An R package to carry out POSAC analysis, a technique used in Facet Theory.
Broadly the idea is to reduce a data set with many variables down to two so that we can plot the positions of all cases in the data set in
two dimensions.
The aim is to find values of the two variables for each case so that if, for a pair of cases, one case has values at least as high as the
other for every variable (and higher in at least one instance), then that case should be plotted above and to the right of the other.
If one case has higher values for some variables and the other has higher values for others then the two cases are deemed incomparable.
As such, one case should be plotted below and to the right the other.
The positions of points are chosen to preserve these rules as best as possible across all pairs of cases.
Note that POSAC works best as a small data technique. In particular, if you have a very large number of variables
don't be surprised if analysis fails to produce useful results.
Author(s)
Tom Benton and Tom Bramley, Cambridge Assessment.
References
Shye, S. (2009). POSAC in 4 simple steps.
CambridgeAssessmentResearch/POSAC documentation built on May 28, 2019, 12:16 p.m.
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Description Details Author(s) References
Description
POSAC (Partial Order Scalogram Analysis with Base Co-ordinates)
Details
An R package to carry out POSAC analysis, a technique used in Facet Theory. Broadly the idea is to reduce a data set with many variables down to two so that we can plot the positions of all cases in the data set in two dimensions. The aim is to find values of the two variables for each case so that if, for a pair of cases, one case has values at least as high as the other for every variable (and higher in at least one instance), then that case should be plotted above and to the right of the other. If one case has higher values for some variables and the other has higher values for others then the two cases are deemed incomparable. As such, one case should be plotted below and to the right the other. The positions of points are chosen to preserve these rules as best as possible across all pairs of cases.
Note that POSAC works best as a small data technique. In particular, if you have a very large number of variables don't be surprised if analysis fails to produce useful results.
Author(s)
Tom Benton and Tom Bramley, Cambridge Assessment.
References
Shye, S. (2009). POSAC in 4 simple steps.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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