.keepCenter1d {wrMisc}

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)