fitted.anchors.rank {anchors} | R Documentation |
Fitted values of non-parametric models
## S3 method for class 'anchors.rank' fitted(object, ..., ties = c("omit", "uniform", "cpolr", "minentropy"), average = FALSE, unconditional = FALSE)
object |
object of class |
... |
required for S3, but any other options will be ignored. |
ties |
method for allocating ties/interval valued cases to a scalar value |
average |
a logical value. See |
unconditional |
Set to TRUE if you submit an anchors.object AND want the unconditional probabilities returned. One case that you would submit a anchors.rank object is if you did subsetting for the anchors object but not for the cpolr object, and want the intersection of the two objects used for the unconditional probabilities. |
If average = FALSE
, a matrix of predicted probabilities
with rows corresponding to observations, and columns corresponding to
categories.
If average = TRUE
, the matrix of predicted probabilities
(conditional or unconditional) is summarized to a vector.
Related materials and worked examples are available at http://wand.stanford.edu/anchors/
Jonathan Wand http://wand.stanford.edu
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. 4th edition. Springer.
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.
## Basic usage: see anchors