View source: R/TopKInference.R
prepare.idata | R Documentation |
Function creates a data stream vector of zeros and ones (Idata
) based on the preselected distance delta of the paired ordered lists. The obtained vector is further used as an input for compute.stream
, a function that estimates the index position of information degradation.
prepare.idata(x, d)
x |
Data matrix or data frame, where the columns represent the lists of objects ordered according those rankings obtained from two different assessments. |
d |
The maximal distance between two lists for a ranked object |
The data stream vector is created as follows: if diff(rank1, rank2) of an individual object is less or equal delta
, then 1 is assigned; otherwise 0. The smaller the delta
value, the stronger the assumption of concordance for the paired ranked lists. When delta=0
, the condition returns 1 for an object if and only if its rankings in the two lists are identical (the two objects share the same row).
The result is an object of type Idata
, which is a list containing the data stream vector of zeros and ones, and the information about the applied distance delta
Idata |
Data stream vector of zeros and ones |
delta |
The applied |
Eva Budinska <budinska@iba.muni.cz>, Michael G. Schimek <michael.schimek@medunigraz.at>
compute.stream
set.seed(4568) A <- sample(1:20, 20) B <- sample(1:20, 20) C <- sample(1:20, 20) mm <- data.frame(A, B, C, row.names=LETTERS[1:20]) prepare.idata(mm, d=10) # The breast cancer example data(breast) Idata1 = prepare.idata(breast[,c(1,3)], d=10) # or Idata2 = prepare.idata(breast[,c(1,2)], d=10) # compare to Idata2 = prepare.idata(breast, d=10)
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