bda (version 3.2.0-3)

binning: Data Binning

Description

To bin a univariate data set in to a consequent bins.

Usage

binning(x, freq, breaks, bw)

Arguments

x

A vector of sample data. 'NA' values will be automatically removed.

freq

Frequencies of 'x'

breaks

The break points for data binning.

bw

Bin (class) width.

Details

Data binning can be done if (1) breaks are specified, or (2) bw and the lower limit of the first class is given in breaks -- the first element, or as a single value. If x is given, the starting point of the first class can be missing, and a random starting point will be chosen.

Examples

par(mfrow=c(2,3))
  y <- c(10, 21, 56,79,114,122,110,85,85,61,47,49,47,44,31,20,11,4,4)
  x <- 14.5 + c(0:length(y))
  out1 <- binning(freq=y, breaks=x)
  plot(out1)

  out2 <- binning(freq=y, breaks=14.5, bw=1)
  plot(out2)

  x0 <- rnorm(100,34.5,1.5)
  x <- round(x0)
  bx <- binning(x, breaks=min(x)-0.5, bw=1)
  plot(bx)

  xt <- table(x)
  (x1 <- as.numeric(names(xt)))
  (xf <- as.numeric(xt))
  bx2 <- binning(x=x1, freq=xf,breaks=min(x)-.5,bw=1)
  plot(bx2)

  # "from" should be specified for prebinned/grouped data
  bx3 <- binning(x=x1, freq=xf,bw=1) 
  plot(bx3)

  x <- c(1,2,3,2,1,2,4,5,6,2,2,1)
  brx <- c(0,2,4,8)
  bx4 <- binning(x, breaks=brx)
  plot(bx4)

  par(mfrow=c(1,3))
  data(hhi)
  bx1 <- binning(breaks=hhi$breaks, freq=hhi$mob)
  plot(bx1, border='gray', main='MOB Household Income')
  bx2 <- binning(breaks=hhi$breaks, freq=hhi$ala)
  plot(bx2, border='gray', main='AL Household Income')
  bx3 <- binning(breaks=hhi$breaks, freq=hhi$usa)
  plot(bx3, border='gray', main='USA Household Income')