maphimbu1

Usage

Overview

This program produces 1-d histograms from numerical or text data input. It can be also used to estimate the probability distribution function of a numerical variable - see http://en.wikipedia.org/wiki/Probability_density_function.

Options

-x <int>

x-data column (default is 1)

-y <int>

y-data column (default is 2); It is considered only when combined with '-m' or '-S'

-d <float|int>

delta size (dx-resolution) in case of numerical data; Keep in mind that 2 is not the same as 2.0: in the first case the numbers are treated as integers, in the latter as floats.

-n

normalize the result A) non-numerical data: n(x) = counts(x)/sum_of_counts B) numerical data: the normalized probability density func.

is P(-INF < x <INF) = Int_[-INF:INF] P(x)*dx = 1 ;

For the numerical integration an open x-data interval is assumed.

-N

normalize data against the total sum of counts (same as option '-n' with case A forced)

-U

normalize the result with x-range mapped to unit; The x-values are mapped to the interval [0:1], respectively Int_[0:1] P(x)*dx = 1; This option is mutually exclusive with '-n'.

-S

compute sums and normalized sums of y-values; The total sum of all y-values is used for the normalization.

-m

compute the arithmetic average of the y-values in the underlying x-bin

-a

compute accumulated sums of the result data column (default is colum 2, or 3 in case of normalization); The program 'mintegrate' is need in this case.

-s <int>

sort output using the specified column; Header is skipped in this case.

-g <int>

sort output numerically using the specified column; Header is skipped in this case.

-r

do reverse sorting (in combination with '-g' and '-s')

-C

center histogram bins (shifts x-axis by 0.5*dx)

-X

treat hole line as one string (single data record)

-H

print a data description header

-V

print program version and exit

--version

output version and copyright information

--help

display help

-h

display short help (options summary)

Note: this program is not intended for use in high order numerical computations.