summary.anchors.rank: Summary of non-parameteric anchors analysis
In anchors: Statistical analysis of surveys with anchoring vignettes

Description Usage Arguments Note Author(s) References See Also Examples

Summary of non-parameteric analysis of a set of vignettes and a self-assessment.

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 ## S3 method for class 'anchors.rank'
summary( object, ..., ties = c("omit", "uniform", "cpolr",
                 "minentropy"), combn = TRUE, digits = 3)

`object`	The object of class "anchors.rank", as returned by `anchors`
`...`	additional arguments affecting the summary produced.
`ties`	(optional) shows distribution of ranks by method for allocating ties/interval valued cases to a scalar value; can be one or more of the following: "uniform": allocates in equal proportions among scalar values "omit": drops cases with interval values "cpolr": uses censored ordered probit model to allocate ties "minentropy": allocates ties to produce minimum entropy
`combn`	print summary of combn if avaiable in anchors.rank object
`digits`	sig digits to print

Related materials and worked examples are available at http://wand.stanford.edu/anchors/

Jonathan Wand http://wand.stanford.edu

Wand, Jonathan; Gary King; and Olivia Lau. (2007) “Anchors: Software for Anchoring Vignettes”. Journal of Statistical Software. Forthcoming. copy at http://wand.stanford.edu/research/anchors-jss.pdf

Wand, Jonathan and Gary King. (2007) Anchoring Vignetttes in R: A (different kind of) Vignette copy at http://wand.stanford.edu/anchors/doc/anchors.pdf

Gary King and Jonathan Wand. "Comparing Incomparable Survey Responses: New Tools for Anchoring Vignettes," Political Analysis, 15, 1 (Winter, 2007): Pp. 46-66, copy at http://gking.harvard.edu/files/abs/c-abs.shtml.

King, Gary; Christopher J.L. Murray; Joshua A. Salomon; and Ajay Tandon. "Enhancing the Validity and Cross-cultural Comparability of Survey Research," American Political Science Review, Vol. 98, No. 1 (February, 2004): 191-207, copy at http://gking.harvard.edu/files/abs/vign-abs.shtml

anchors