dot-keepCenter1d: Refine/filter 'dat1' (1dim dataset, eg cluster) with aim of...

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

Refine/filter 'dat1' (1dim dataset, eg cluster) with aim of keeping center of data

Description

This function allows to refine/filter 'dat1' (1dim dataset, eg cluster) with aim of keeping center of data. It is done based on most freq class of histogramm keep/filter data if 'core' (

Usage

.keepCenter1d(
  dat1,
  core = NULL,
  keepOnly = TRUE,
  displPlot = FALSE,
  silent = TRUE,
  debug = FALSE,
  callFrom = NULL
)

Arguments

dat1	simple numeric vector
core	numeric vactor (betw 0 and 1) for fraction of data to keep; if null trimmedMean/max hist occurance will be used, limited within 30-70 perent; may also be 'high' or 'low' for forcing low (20-60percent) or high (75-99) percent of data to retain
keepOnly	(logical)
displPlot	(logical) show plot of hist & boundaries
silent	(logical) suppress messages
debug	(logical) additional messages for debugging
callFrom	(character) allow easier tracking of messages produced

Value

This function returns the index of values retained or if 'keepOnly' return list with 'keep' index and 'drop' index

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.