dot-insp1dimByClustering: Segment (1-dim vector) 'dat' into clusters

In wrMisc: Analyze Experimental High-Throughput (Omics) Data

Segment (1-dim vector) 'dat' into clusters

Description

This function allows aegmenting (1-dim vector) 'dat' into clusters. If 'automClu=TRUE ..' first try automatic clustering, if too few clusters, run km with length(dat)^0.3 clusters This function requires the package NbClust to be installed.

Usage

.insp1dimByClustering(
  dat,
  automClu = TRUE,
  cluChar = TRUE,
  silent = FALSE,
  debug = FALSE,
  callFrom = NULL
)

Arguments

dat	matrix or data.frame, main input
automClu	(logical) run atomatic clustering
cluChar	(logical) to display cluster characteristics
silent	(logical) suppress messages
debug	(logical) additional messages for debugging
callFrom	(character) allow easier tracking of messages produced

Value

This function returns clustering (class index) or (if 'cluChar'=TRUE) list with clustering and cluster-characteristics

See Also

searchLinesAtGivenSlope

Examples

set.seed(2016); dat1 <- matrix(c(runif(200)+rep(1:10,20)),ncol=10)

wrMisc documentation built on Sept. 11, 2024, 6:10 p.m.