Compute Rand indices

Compute Rand indices for fitted scregclust object

Usage

get_rand_indices(fit, groundtruth, adjusted = TRUE)

Arguments

fit

An object of class scregclust

groundtruth

A known clustering of the target genes (integer vector)

adjusted

If TRUE, the Adjusted Rand index is computed. Otherwise the ordinary Rand index is computed.

Value

A data.frame containing the Rand indices. Since there can be more than one final configuration for some penalization parameters, Rand indices are averaged for each fixed penalization parameter. Returned are the mean, standard deviation and number of final configurations that were averaged.

References

W. M. Rand (1971). "Objective criteria for the evaluation of clustering methods". Journal of the American Statistical Association 66 (336): 846–850. DOI:10.2307/2284239

Lawrence Hubert and Phipps Arabie (1985). "Comparing partitions". Journal of Classification. 2 (1): 193–218. DOI:10.1007/BF01908075