it would probably be faster if you can be as specific as possible... in the
help that has been provided, it is looking everywhere in c:/
you could narrow that down a bit and save it from looking too deep in your
system.
dir(C:\Documents and Settings\username\Desktop, pattern=foo.pdf,
these guys wont help you with your homework. But have you ever heard of
Google?... if so, R has plenty of online manuals and cheat sheets.
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untested because I don't have access to your data, but this should work.
b13.NEW - b13[, c(Gesamt, Wasser, Boden, Luft, Abwasser,
Gefährliche Abfälle, nicht gefährliche Abfälle)]
Geophagus wrote:
*Hi @ all,
I have a question concerning the possibilty of grouping the columns of a
?unique
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Dennis:
I had never used the rep() function and that works out great, thank you.
Brad
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Hi,
Sorry ahead of time for not including data with this question.
Using rollapply to calculate mean values for 5 day blocks, I'd use this:
Roll5mean - rollapply(data, 5, mean, by=5, align = c(left))
My question is, can someone tell me how to fill in the days between each of
these means with
:
Not exactly elegant, but here's one approach:
library(zoo)
x - zoo( rpois(100, 40) )
w - rollapply(x, 5, mean, by = 5, align = c('left'))
x2 - rep(w, each = 5)
Does that work?
HTH,
Dennis
On Fri, Apr 9, 2010 at 12:32 AM, Brad Patrick Schneid [hidden
email]http://n4.nabble.com/user
Gabor:
That is not the ideal solution, but it definitely works to provide me with
the easier alternative. Thanks for the reply!
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Hi,
I have a time series problem that I would like some help with if you have
the time. I have many data from many sites that look like this:
Site.1
datetimelevel temp
2009/10/01 00:01:52.0 2.8797 18.401
2009/10/01 00:16:52.0 2.8769
I'm guessing the answer is no? I too am looking for a function for SIMPER,
it seems logical that this would be in the Vegan package with the ANOSIM
function.
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I have a data.frame with the following:
ID Species Count
1 A 3
1 B 2
1 E 12
2 A 13
2 C 5
2 F 4
3 B 5
3 D 3
I need it in
look at plyr package
colwise (column wise) function
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You rock!
thank you.. you saved me hours of hunting around.
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Thats it Hadley!!!
Thank you.
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Hi,
I have many .txt files which look like this:
2009/02/07 12:30:10.0 5.0161 13.208
2009/02/07 12:45:10.0 5.0102 13.350
2009/02/07 13:00:10.0 5.0044 13.473
2009/02/07 16:30:10.0 4.9366 13.788
2009/02/07 16:45:10.0 4.9397
### The following is very helpful #
listOfFiles - list.files(pattern= .txt)
d - do.call(rbind, lapply(listOfFiles, read.table))
###
but what if each file contains information corresponding to a different
subject and I need to be able to tell where each row
Sorry...
also, how do I remove the last line which says end data
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Hi,
I have many files which look like this:
2009/02/07 12:30:10.0 5.0161 13.208
2009/02/07 12:45:10.0 5.0102 13.350
2009/02/07 13:00:10.0 5.0044 13.473
2009/02/07 16:30:10.0 4.9366 13.788
2009/02/07 16:45:10.0 4.9397 13.798
end
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