[R] Fwd: the properties of a DATA to run DBSCAN in R

[Jeff Newmiller]

Instead of repeating yourself, please do some research. There is a Posting Guide mentioned at the bottom of this message. One of the things it mentions is making a reproducible example. (You might find [1] helpful in that regard.) Another thing it mentions is posting in plain text, which does not get mangled in transit. Another useful but of advice is to cc the package maintainer in case they are not monitoring R-help (see ?maintainer).

Keep in mind that there are over 6000 contributed packages out there, so making it easy for someone familiar with R but not familiar with your special package is an important strategy in getting help. In addition, if this turns out to be a bug that the maintainer needs to fix then they will need a reproducible example in order to do that.

[1]  http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
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Sent from my phone. Please excuse my brevity.

On September 15, 2014 5:11:29 PM PDT, Maryam Heidari <m.heidari.b at gmail.com> wrote:
>hello everybody,
>
>I have been trying to run "dbscan" algorithm on my data, my data round
>40000 records which each of them has 3 attributes + plus the ID for
>each
>record.
>the interesting thing is that when I run the "dbscan just on 3
>attributes"
>R gives me an ERROR regarding "stackoverflow" but when I run it
>including
>the 4 attributes it runs with out any problem.
>so is the problem with my data?!
>
>this is statistics about my data
>att1                           att2                                att3
> Min.   :0.00000      Min.   :0.000000       Min.   :0.000000
> 1st Qu.:0.01429    1st Qu.:0.000000     1st Qu.:0.000000
> Median :0.02857    Median :0.000000   Median :0.000000
> Mean   :0.02764    Mean   :0.001135    Mean   :0.000477
> 3rd Qu.:0.02857    3rd Qu.:0.000000    3rd Qu.:0.000000
> Max.   :1.00000      Max.   :1.000000     Max.   :1.000000
>
>	[[alternative HTML version deleted]]
>
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>and provide commented, minimal, self-contained, reproducible code.