On 9/6/2012 7:24 PM, Bert Gunter wrote:
... and if it Duncan's suggestion won't do, maybe approaching it via
clustering might be useful.
But do note that, as stated, the problem is not well defined, because
transitivity fails: consider
v <- c(1,2,3,4,5,10)
with a tolerance of <=2. Then 1 is the
Thanks to both of you for suggestions.
I settled for the round() approach.
much obliged,
Michael Bach
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Dear R Users and Developers,
I am trying to do the equivalent of
v <- c(1,2,3,3,2,1,)
vu <- unique(v)
for a vector such as
v2 <- c(1.02, 2.03, 1.00, 3.04, 3.06)
vut <- ...
As indicated in the subject, we need approximately unique values with a defined
tolerance, i.e. for the v2 vector the resu
Thank you very much for your comments Ista and David! I will
experiment and see which one serves my needs best.
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ion (x) { return (x*x) }
w <- applyfun(v, mysquare, 2)
then w should be c(1, 4, 3, 16)
Thanks for your time,
Michael Bach
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s the subject
states, I need a way of inserting this word field from R2wd -
something along the lines of:
> wdField("<>= plot(1:100)")
sadly, I did not find that in the documentation. Any ideas or hints?
Best Regards,
Michael Bach
[1] http://cran.r-project.org/web/packages/R2wd/inde
Prof Brian Ripley writes:
> On Mon, 2 May 2011, Michael Bach wrote:
>
>> Uwe Ligges writes:
>>
>>> On 29.04.2011 17:10, Michael Bach wrote:
>>>> Dear R Users,
>>>>
>>>> I am doing stats::decompose() on 4 different time serie
Uwe Ligges writes:
> On 29.04.2011 17:10, Michael Bach wrote:
>> Dear R Users,
>>
>> I am doing stats::decompose() on 4 different time series. When I issue
>>
>> csdA<- decompose(tsA)
>> plot(csdA)
>>
>> I get a summary plot for observed,
27;s own plot method where mfrow(4,1) etc. is
defined. Now suppose I wanted to wrap those mfrow(4,1) into my own
mfrow(2,2) layout. How could I achieve this? Is there a general way to
handle these cases? Something like a "meta" par(mfrow())?
Best Reg
Kenn Konstabel writes:
> Another way (not elegant but better and shorter than the eval-parse
> way) is to use get. ?get
This one is handy for interactive use, thanks for the hint.
Kind Regards,
Michael Bach
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for its functional style.
> hth.
It did, thanks.
Kind Regards,
Michael Bach
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and prov
created variables with names
one_df, two_df and three_df earlier in the same script which I want to
reference inside the for loop. Is there a more elegant way to do this?
Best Regards,
Michael Bach
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David Winsemius writes:
> On Apr 19, 2011, at 8:16 AM, Michael Bach wrote:
>
>> David Winsemius writes:
>>
>>> Perhaps but only if the third row of your example was incorrectly
>>> constructed:
>>>> dta <- rd.txt(" x y z
>>>
Petr PIKAL writes:
> Hi
>
> r-help-boun...@r-project.org napsal dne 19.04.2011 09:46:47:
>
>> Dear R Users,
>>
>> Lets assume I have this data frame:
>>
>> x y z
>> 1 1.00 5 0.5
>> 2 1.02 5 0.7
>> 3 1.04 7 0.1
>> 4 1.06 9 0.4
>>
>> x and y columns are sorted and the values not necessari
David Winsemius writes:
> Perhaps but only if the third row of your example was incorrectly constructed:
>> dta <- rd.txt(" x y z
> 1 1.00 5 0.5
> 2 1.02 5 0.7
> 3 1.04 7 0.1
> 4 1.06 9 0.4")
> #rd.txt() is a combo fn of read.table and textConnection
>
>> mat <- matrix(NA, ncol=NROW(dta)+1,
es it? All searches I did pointed me to data
type frame to matrix conversion...
Kind Regards,
Michael Bach
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Hi Adrian,
thanks for the hint. The problem was that it showed me help for matrix
when I did ?as.matrix. I thought it was some kind of convention that
data type conversion functions start with "as.", so now I will take more
care in the future.
With matrix() it works as expected, thanks again.
lly specify
nrow=2. It behaves as if I had not given the ncol argument. Any hints
on what might be borked up here?
R.Version()$ver
[1] "R version 2.10.1 (2009-12-14)"
Thanks in advance,
Michael Bach
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https:/
Hi there,
I was doing great with R, ggplot and tikzDevice, when suddenly it stopped
working.
I can do a plot just fine on the R online graphics device. I can also open a
tikzdevice via tikz(). However, the plot (both ggplot and R graphics plot)
call leads to the error:
"createLockFile(lockname):
bset(dfx, dx > ymd("2007-06-01") & hour(dx) > 10 & hour(x) < 14)
>
>
You are certainly right about that...
Best Regards,
Michael Bach
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@Kenn: Yeah I have a way of loosing concentration when fiddling around and
trying to get it work. Thanks for pointing out that I supplied a third
argument when I wanted an additional test in the second argument instead.
Also my selection choices indeed do not make any sense, no wonder your
"parser"
s?
Thanks for your help David.
On Thu, Mar 24, 2011 at 3:44 PM, David Winsemius wrote:
>
> On Mar 24, 2011, at 9:29 AM, Michael Bach wrote:
>
> Dear R users,
>>
>> Given this data:
>>
>> x <- seq(1,100,1)
>> dx <- as.POSIXct(x*900, origin="
e following work?
14 > as.POSIXlt(dx)$hour & as.POSIXlt(dx)$hour < 10
Is there something I miss about subset()? Or is there even another way of
aggregating over an hourly time interval in a nicer way?
Best Regards,
Michael Bach
[[alternative HTML version deleted]]
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column headers. This caused M[[x]] to evaluate to NULL which in
turn triggered the "scales of x and y are too dissimilar" since there is
indeed no scale whatsoever in NULL.
On Fri, Mar 18, 2011 at 1:21 PM, Duncan Murdoch wrote:
> On 18/03/2011 6:37 AM, Michael Bach wrote:
>
>>
attach my csv file?
Best Regards,
Michael Bach
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and
Dear All,
I was wondering why the forecast for an additive HoltWinters model is given
by Yhat[t+h] = a[t] + h * b[t] + s[t + 1 + (h - 1) mod p].
I am a student and new to time series analysis and forecasting. That said, I
considered t = 13 and h = 1: Yhat[13+1] = a[13] + b[13] + s[13 + 1]
It see
something wrong /
addtitional config needed?
Thanks in advance,
Michael Bach
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and provide commente
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