- f2(z))
> user system elapsed
> 0.21 0.05 0.24
> > identical(r0, r1) && identical(r0, r2)
> [1] TRUE
>
> Bill Dunlap
> Spotfire, TIBCO Software
> wdunlap tibco.com
>
>> -Original Message-
>> From: r-help-boun...@r-project.org
&
Hello
The data set I am examining has 7425 observations (rows with unique
identifiers) and 46 samples(columns).
I have been trying to generate a dataset that filters out observations
that are "negligible"
The definition of "negligible" is absolute value less or equal to 1.58.
The rule that I wo
king <- cut(hDatPretty$rating, breaks = c(-11, -4, 4, 11),
> labels = c('dislike', 'neutral',
> 'like'))
>
> HTH,
> Dennis
>
> On Sat, Nov 6, 2010 at 11:15 PM, hind lazrak wrote:
>>
>> Hello R-helpers
>&g
Hello R-helpers
I hope that my subject line is not detering anyone from helping me out:)
I have been stuck of a few hours now, and I don't seem to pinpoint
where the problem is.
I have a data.frame which is structured as follow:
str(hDatPretty)
'data.frame': 1665 obs. of 8 variables:
$ time
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