cross_dat_analy: Compares clustering across datasets using metrics described...

In twl: Two-Way Latent Structure Clustering Model

Description

Compares clustering across datasets using metrics described in associated TWL manuscript

Usage

cross_dat_analy(clus_save, BURNIN)

Arguments

clus_save	list of samples outputted from TWLsample function.
BURNIN	number of samples devoted to burn-in. Defaults to 2000.

Value

outpu_lis a list of output metrics. The first element is a list of lists of sample-specific pairwise cluster overlap. The second element is an estimate of across all datasets cluster correspondence by averaging pairwise cluster overlap (the length is the vector therefore is the number of unique samples associated with at least 2 data sources.

Examples

data(data_and_output)
## Not run: clus_save <- TWLsample(misaligned_mat,misaligned,output_every=50,num_its=5000,manip=FALSE)
outpu_new <- pairwise_clus(clus_save,BURNIN=2000)
post_analy_cor(outpu_new,c("title1","title2","title3","title4","title5"),
tempfile(),ords='none') 
clus_labs <- post_analy_clus(outpu_new,clus_save,c(2:6),rep(0.6,5),c("title1","title2",
"title3","title4","title5"),tempfile())
output_nest <- cross_dat_analy(clus_save,4750)

## End(Not run)

twl documentation built on May 2, 2019, 4:01 p.m.