Hi,
I want to sample from a distribution (say a normal distribution, for example)
using vectors of the different parameters (i.e. the mean and standard
deviation). That is, I have a list/vector of say 100 means and another of the
corresponding 100 SD's, and I want a matrix of 100 rows (one for
Worked perfect...
Thanks a lot!
Johannes
j.k wrote:
>
> Hello alltogheter,
> I have a little problem regarding merging to zoo series.
> I want to merge two zoo series to reduce the timegaps between the stamps.
> I use the following code:
>
> data.test <-
> as.P
Hello alltogheter,
I have a little problem regarding merging to zoo series.
I want to merge two zoo series to reduce the timegaps between the stamps.
I use the following code:
data.test <-
as.POSIXct(seq(data.input01[1,1],data.input01[nrow(data.input01),1],900),tz="GMT")
data.troughput01 <- as.zo
I've already found the solution myself:
the package "odfWeave" depends on package "XML"
to configure the package "XML" the libxml2-devel package in ubuntu is
needed.
You get that with typing in the console:
sudo apt-get install libxml2-devel
j.k wrote:
&g
Hello togheter,
I've installed R with this instruction:
http://edtechdev.blogspot.com/2009/03/r-in-ubuntu-intrepid.html
After that I tried to install odfWeave with this:
> install.packages("odfWeave")
Then there came this warning:
Warnung in install.packages("odfWeave") :
Argument 'lib' missi
ge(z, zoo(, tt))
> 2008-10-14 08:45:00 2008-10-14 08:50:00 2008-10-14 08:55:00 2008-10-14
> 09:00:00
>94411.0890745.4582963.35
> 75684.38
> 2008-10-14 09:05:00 2008-10-14 09:10:00 2008-10-14 09:15:00 2008-10-14
> 09:20:00
>78931.82
Hello alltogheter,
I have the following problem and maybe someone can help me with it.
I have a list of values with times. They look like that:
V1 V2
1 2008-10-14 08:45:00 94411.08
2 2008-10-14 08:50:00 90745.45
3 2008-10-14 08:55:00 82963.35
4 2008-10-14
?POSIXct
>
> class(df$V1) # is a POSIX time now
>
> df2 <- df[do.call(order, df), ] # see ?order
>
> df2 # sorted in a way you like
>
>
> Cheers, Arien
>
>
> On Thu, March 26, 2009 08:54, j.k wrote:
>>
>> #Good morning alltogheter.
#Good morning alltogheter. I'm using R for a short time to analyse TimeSeries
and I have the following Problem:
#I have a bunch of Time Series:
#First of all I import them from a txt File
data.input01 <-read.csv("./LD/20081030.txt", header = TRUE, sep = ";",
quote="\"", dec=",", fill = TRUE, comm
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