CROSSCORR
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CROSSCORR
Section: User Commands (1)
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NAME
crosscorr  calculate Pearson's crosscorrelation from timeseries data
SYNOPSIS
crosscorr
[x colnum]
[y colnum]
[l numlags]
csvfile
>
output.csv
DESCRIPTION
Crosscorr
will provide a correlation between two time series or two waveforms.
The observations of one series are correlated with the observations
of another series at various lags and leads.
Crosscorrelations help identify variables which are leading indicators
of other variables or how much one variable is predicted to change
in relation the other variable.
In this analysis, the Pearsonâ€™s Product Moment correlation value,
r,
is calculated many times by timeshifting the one data set
relative to the other data set.
Each shift is called a
lag,
and the lag time is simply the sampling period of the two timeseries
data sets.
A typical crosscorrelation shows enough lags in both negative and positive
directions to show the cyclical relationship of the two sets of data.
The
csvfile
argument, which must be specified, gives the name of the ASCII file of
commaseparated values for the two waveforms to be compared.
The input must have at least two columns of numbers, but if it has more you
can specify which ones to use.
If you want to use the standard input, specify

as the input file name.
The output is also an ASCII series of commaseparated values, giving the
lag numbers and corresponding
r
value.
The output goes to the standard output, which can be piped to another program,
or redirected to a file.
A file name suffix of
.csv
is recommended for this output file.
Options
 x colnum

Specifies the column number for the first variable (default is 1).
 y colnum

Specifies the column number for the second variable (default is 2).
 l numlags

Specifies the number of lags to be calculated in either direction
(default is 150).
 help

Causes the program to output a summary of command usage and options.
EXAMPLES
 crosscorr l150 apj40256.csv  genplot yf yc2 yw0  xhpgl

Simple plot of crosscorrelation of first two columns in data file.
SEE ALSO
getwfdata(1),
genplot(1)
 http://www.scrc.umanitoba.ca/doc/tutorial/tutorial_14.html

for more information on using crosscorr in a crosscorrelation analysis.
Index
 NAME

 SYNOPSIS

 DESCRIPTION

 Options

 EXAMPLES

 SEE ALSO

This document was created by
man2html,
using the manual pages.
Time: 20:21:26 GMT, November 21, 2017
Copyright © G. R. Detillieux,
Spinal Cord Research Centre,
The University of Manitoba.