Hi list,
I have a function that detects saccadic eye movements in a time series
of eye positions sampled at a rate of 250Hz. This function needs
three vectors: x-coordinate, y-coordinate, trial-id. This information
is usually contained in a data frame that also has some other fields.
The names
On Tue, May 12, 2009 at 12:18:59PM +0200, Titus von der Malsburg wrote:
Is there a canonical way to tell a function which fields in a data
frame are relevant? What other alternatives are possible? What are
the pros and cons of the alternatives?
Why not simply rearrange your data frames to
You could define a generic detect(obj, ...) that dispatches (using S3):
detect.formula(fo, data)
detect.data.frame(data)
detect.default(x, y, trial)
where the first two call the third thereby modeling it on lm,
a common approach, and giving the user choice in interface.
On Tue, May 12, 2009 at
Hi Zeljko,
thanks for your suggestion!
On Tue, May 12, 2009 at 12:26:48PM +0200, Zeljko Vrba wrote:
Why not simply rearrange your data frames to have standardized column names
(see names() function), and write functions that operate on the standardized
format?
Actually that's what I'm
On 12/05/2009 6:18 AM, Titus von der Malsburg wrote:
Hi list,
I have a function that detects saccadic eye movements in a time series
of eye positions sampled at a rate of 250Hz. This function needs
three vectors: x-coordinate, y-coordinate, trial-id. This information
is usually contained in a
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