lwscreen: Impute ranks using the existing values of rankings
Description
Completes a matrix with missing ranks for the values maximally
and minimally consistent with existing values using the Lim-Wolfe procedure
Usage
lwscreen(x,scrtest="lw.FriedmanTest")
Arguments
x
A matrix of ranks that may contain ties and NAs. Columns
represent objects ranked and rows represent ranking methods.
scrtest
What test to use to determine the maximally and
minimally consistent imputed values.
Value
The maximal and minimal statistics and p values for the list of completed
rank matrices obtained.
Details
lwscreen calls fillArows to impute the missing ranks in the
matrix x. It then applies scrtest to all the matrices returned
and finds the minimum and maximum values. See Lim and Wolfe (2002) for
details of the algorithm.
The algorithm for finding the maximally consistent and inconsistent rank
imputations is extremely computer intensive, creating large numbers of
permuted matrices when tied ranksums or multiple rows with the same number
of missing values are encountered. The APA election example in Lim and Wolfe
(2002) is beyond the capability of the average PC in the present
implementation.
References
Lim, D.H. & Wolfe, D.A. (2002) An efficient alternative to average
ranks for testing with incomplete ranking data. Biometrical Journal,
43(2): 187-206.