Thanks!
Here the period of my time series B is a proper subinterval of the period of A.
Does ccf(A,B) requires A and B span the same period?
If A and B don't span the same period, what does ccf do?
When moving B along the period of A by a lag, does ccf(A,B) calculate the cross
correlation between B and the part of A overlapping with B?
Or does ccf(A,B) calculate the cross correlation between A and the extension of
B to the period of A by zero padding?
--------------------------------------------
On Thu, 5/14/15, Franklin Bretschneider <brets...@xs4all.nl> wrote:
Subject: Re: [R] Cross correlation between two time series over nested time
periods?
Date: Thursday, May 14, 2015, 6:14 AM
On
2015-05-14 , at 02:11, Tim via R-help <r-help@r-project.org>
wrote:
Hello Tim,
Re:
> I have two time series
>
>
> Calculate and plot cross correlation
between two time series over nested time periods. Each point
in either time series is for a week (not exactly a calendar
week, but the first week in a calendar year always starts
from Jan 1, and the other weeks in the same year follow
that, and the last week of the year may contain more than 7
days but no more than 13 days).
>
> The first time series A is stored in a
compressed (.gz) text file, which looks like (each week and
the corresponding time series value are separated by a comma
in a line):
> week,value
> 20060101-20060107,0
>
20060108-20060114,5
> ...
> 20061217-20061223,0
>
20061224-20061230,0
>
20070101-20070107,0
>
20070108-20070114,4
> ...
> 20150903-20150909,0
>
20150910-20150916,1
>
> The second time series B is similarly
stored in a compressed (.gz) text file, but over a subset of
period of A, which looks like:
>
week,value
> 20130122-20130128,509
> 20130129-20130204,204
>
...
> 20131217-20131223,150
> 20131224-20131231,148.0
> 20140101-20140107,365.0
> 20140108-20140114,45.0
> ...
>
20150305-20150311,0
>
20150312-20150318,364
>
> I wonder how to calculate the cross
correlation between the two time series A and B (up to a
specified maximum lag), and plot A and B in a single plot?
The auto- and crosscorrelation
functions are in the stats package:
acf(x, lag.max = NULL,
type = c("correlation", "covariance",
"partial"),
plot = TRUE,
na.action = na.fail, demean = TRUE, ...)
ccf(x, y, lag.max = NULL, type =
c("correlation", "covariance"),
plot = TRUE, na.action = na.fail, ...)
See further: ?ccf
Succes and
Best wishes,
Frank
---
Franklin Bretschneider
Dept of
Biology
Utrecht University
brets...@xs4all.nl
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