Returns a complex object named truncated.lists containing the Idata
vector (see prepare.idata
), the estimated truncation index j_0=k+1 (see compute.stream
) for each pair of input lists, the overall topk estimate (see j0.multi
), and other objects with necessary plotting information for the aggmap
1  calculate.maxK(lists, L, d, v, threshold)

lists 
Data frame containing two or more columns that represent input lists of ordered objects subject to comparison 
L 
Number of input lists that are compared 
d 
The maximal distance delta between object ranks required for the estimation of j_0 
v 
The pilot sample size (tuning parameter) ν required for the estimation of j_0 
threshold 
The percentage of occurencies of an object in the topk selection among all comparisons in order to be grayshaded in the 
A named list of the following content:
comparedLists 
Contains information about the overlap of all pairwise compared lists (structure for the 
info 
Contains information about the list names 
grayshadedLists 
Contains information which objects in a list are consolidated (grayshaded in the 
summarytable 
Table of topk list overlaps containing rank information, the rank sum, the order of objects as a function of the rank sum, the frequency of an object in the input lists and the frequency of an object in the truncated lists (for plotting in the 
vennlists 
Contains the topk objects for each of the input lists (for display in the Venndiagram) 
venntable 
Contains the overlap information (for display in the Venntable) 
v 
Selected pilot sample size (tuning parameter) ν 
Ntoplot 
Number of columns to be plotted in the 
Idata 
Data frame of Idata vectors (see 
d 
selected delta 
threshold 
selected threshold 
threshold 
number of lists 
N 
number of items in data frame (lists) 
lists 
data frame of lists that entered the analysis 
maxK 
maximal estimate of the topk's (for all pairwise comparisons) 
topkspace 
the final integrated list of objects as result of the CEMC algorithm applied to the maxK truncated lists 
Eva Budinska <budinska@iba.muni.cz>, Michael G. Schimek <michael.schimek@medunigraz.at>
Hall, P. and Schimek, M. G. (2012). Moderate deviationbased inference for random degeneration in paired rank lists. J. Amer. Statist. Assoc., 107, 661672.
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