Summary of statistics specific for a model for each group that appeared in merging.

groupsStats(factorMerger)

Arguments

factorMerger

object of a class factorMerger

Examples

randSample <- generateMultivariateSample(N = 100, k = 10, d = 3) fm <- mergeFactors(randSample$response, randSample$factor) groupsStats(fm)
#> mean #> (C) -0.59865921 #> (D) -0.49171456 #> (B) -0.37339413 #> (A) -0.26421628 #> (E) -0.18127496 #> (H) -0.08835588 #> (F) 0.10366909 #> (I) 0.21813676 #> (G) 0.39532963 #> (J) 1.28047955 #> (E)(H) -0.12817834 #> (F)(I) 0.15272666 #> (A)(E)(H) -0.17206155 #> (B)(A)(E)(H) -0.22116705 #> (F)(I)(G) 0.24094592 #> (C)(D) -0.53245538 #> (C)(D)(B)(A)(E)(H) -0.32660342 #> (C)(D)(B)(A)(E)(H)(F)(I)(G) -0.17795955 #> (C)(D)(B)(A)(E)(H)(F)(I)(G)(J) 0.05539071