InPosition-package: InPosition: Inference Tests for _Ex_ploratory Analysis with...

In InPosition: Inference Tests for ExPosition

Description

InPosition provides multiple forms of inference tests for the ExPosition package.

Details

Package:	InPosition
Type:	Package
Version:	0.12.7
Date:	2013-12-09
Depends:	R (>=2.15.0), prettyGraphs (>= 2.1.4), ExPosition (>= 2.0.0)
License:	GPL-2
URL:	http://www.utdallas.edu/~derekbeaton/software/ExPosition

Author(s)

Questions, comments, compliments, and complaints go to Derek Beaton [e-mail]. Also see the bug-tracking and live update website for ExPosition: http://code.google.com/p/exposition-family/

Primary authors and contributors are: Derek Beaton, Joseph Dunlop, and Hervé Abdi

References

Permutation:
Berry, K. J., Johnston, J. E., & Mielke, P. W. (2011). Permutation methods. Wiley Interdisciplinary Reviews: Computational Statistics,3, 527–542.
Peres-Neto, P. R., Jackson, D. A., & Somers, K. M. (2005). How many principal components? Stopping rules for determining the number of non-trivial axes revisited. Computational Statistics & Data Analysis, 49(4), 974-997.

Bootstrap:
Chernick, M. R. (2008). Bootstrap methods: A guide for practitioners and researchers (Vol. 619). Wiley-Interscience.
Hesterberg, T. (2011). Bootstrap. Wiley Interdisciplinary Reviews: Computational Statistics, 3, 497–526.

See Also

epPCA.inference.battery, epGPCA.inference.battery, epCA.inference.battery, epMCA.inference.battery. There are no inference tests for MDS at this time. We recommend PCA for inference instead of MDS (some MDS inference tests require the rectangluar table, not the distances, so it is easier to just use PCA).

See also inGraphs for graphing and caChiTest for an alternate to resampling methods for Correspondence Analysis.

Examples

#For more examples, see each individual function (as noted above).

InPosition documentation built on May 2, 2019, 7:59 a.m.