pkstatascii1

Usage

Overview

pkstatascii calculates basic statistics of a data series in a text file.

Options

FC-iF[0] filename, FC--inputF[0] filename

name of the input text file

FC-sizeF[0], FC--sizeF[0]

sample size

FC-rndF[0] number, FC--rndF[0] number

generate random numbers

FC-distF[0] function, FC--distF[0] function

distribution for generating random numbers, see http://www.gn/software/gsl/manual/gsl-ref_toc.html#TOC320 (only uniform and Gaussian supported yet)

FC-rndaF[0] value, FC--rndaF[0] value

first parameter for random distribution (mean value in case of Gaussian)

FC-rndbF[0] value, FC--rndbF[0] value

second parameter for random distribution (standard deviation in case of Gaussian)

FC-meanF[0], FC--meanF[0]

calculate mean

FC-medianF[0], FC--medianF[0]

calculate median

FC-varF[0], FC--varF[0]

calculate variance

FC-stdevF[0], FC--stdevF[0]

calculate standard deviation

FC-skewF[0], FC--skewnessF[0]

calculate skewness

FC-kurtF[0], FC--kurtosisF[0]

calculate kurtosis

FC-sumF[0], FC--sumF[0]

calculate sum of column

FC-mmF[0], FC--minmaxF[0]

calculate minimum and maximum value

FC-minF[0], FC--minF[0]

calculate minimum value

FC-maxF[0], FC--maxF[0]

calculate maximum value

FC-histF[0], FC--histF[0]

calculate histogram

FC-hist2dF[0], FC--hist2dF[0]

calculate 2-dimensional histogram based on two columns

FC-nbinF[0] value, FC--nbinF[0] value

number of bins to calculate histogram

FC-relF[0], FC--relativeF[0]

use percentiles for histogram to calculate histogram

FC-kdeF[0], FC--kdeF[0]

Use Kernel ⟨http://pktools.nongnu.org/html/classKernel.html⟩ density estimation when producing histogram. The standard deviation is estimated based on Silverman's rule of thumb

FC-corF[0], FC--correlationF[0]

calculate Pearson produc-moment correlation coefficient between two columns (defined by FC-cF[0] <col1> FC-cF[0] <col2>)

FC-rmseF[0], FC--rmseF[0]

calculate root mean square error between two columns (defined by FC-cF[0] <col1> FC-cF[0] <col2>)

FC-regF[0], FC--regressionF[0]

calculate linear regression between two columns and get correlation coefficient (defined by FC-cF[0] <col1> FC-cF[0] <col2>)

FC-regerrF[0], FC--regerrF[0]

calculate linear regression between two columns and get root mean square error (defined by FC-cF[0] <col1> FC-cF[0] <col2>)

FC-vF[0] level, FC--verboseF[0] level

verbose mode when positive

Advanced options

FC-src_minF[0] value, FC--src_minF[0] value

start reading source from this minimum value

FC-src_maxF[0] value, FC--src_maxF[0] value

stop reading source from this maximum value

FC-fsF[0] separator, FC--fsF[0] separator

field separator.

FC-rF[0] startrow [FC-rF[0] endrow], FC--rangeF[0] startrow [FC--rangeF[0] endrow]

rows to start/end reading. Use FC-rF[0] 1 FC-rF[0] 10 to read first 10 rows where first row is header. Use 0 to read all rows with no header.

FC-oF[0], FC--outputF[0]

output the selected columns

FC-tF[0], FC--transposeF[0]

transpose input ascii vector (use in combination with FC--outputF[0])

FC-commentF[0] character, FC--commentF[0] character

comment character