I wasn't clear: x and z are pulse *trains* with irregular gaps between pulses.
>
> x is a rectangular pulse 4 sec long. Its onset and offset are known
> with sub-millisecond precision. The onset varies irregularly -- it
> doesn't fall on neat 1/2 sec or sec boundaries for example.
>
> y is a sampl
PS I think one way to get the average waveforms I want from the
analysis is using cross-correlation, but again the multiple scale
problem is present.
On Wed, Oct 21, 2009 at 9:56 AM, William Simpson
wrote:
> I have three time series, x, y, and z, and I want to analyse the
> relations between them
I have three time series, x, y, and z, and I want to analyse the
relations between them. However, they have vastly different
resolutions. I am writing to ask for advice on how to handle this
situation in R.
x is a stimulus, and y and z are responses.
x is a rectangular pulse 4 sec long. Its onset
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