cgwtools (version 4.1)

binit: Create histogram bins for each unique value in a sample.

Description

This is a Q&D way to create Pareto / histogram bins of a dataset when you want a separate bin for each value and don't want to deal with the 'breaks' or equivalent arguments in hist or other histogram functions in R packages.

Usage

binit(samps,roundPrec=NULL)

Value

A list containing two elements lengths: the number of items in each bin values: the data value associated with each bin

Arguments

samps

A vector or array of data to be binned.

roundPrec

The number of digits to round samps to. Highly recommended when the data are floats

Author

Carl Witthoft,

Details

binit sorts the input data and feeds the result to rle. This effectively produces histogram-like results. If you want a strict Pareto order (most common first), just sort the list elements lengths and values by the magnitudes in lengths.

See Also

rle , hist,

Examples

x <- sample(1:100, 1000, rep=TRUE)
xbin <- binit(x)
plot(xbin$values,xbin$lengths, type = 'h')
# without rounding, will just be grass
x <- rnorm(1000)
 xbin <- binit(x,2)
plot(xbin$values,xbin$lengths, type = 'h')