[R] Add missing values/timestamps

[j.k]

Thanks a lot!
The way with zoo worked perfect.

Here is the code I've used finally:

data.input01 <-read.csv("./1_15min.txt", header = TRUE, sep = ";",
quote="\"", dec=",", fill = TRUE, comment.char="")
data.input02 <-read.csv("./2_15min.txt", header = TRUE, sep = ";",
quote="\"", dec=",", fill = TRUE, comment.char="")
data.input03 <-read.csv("./3_15min.txt", header = TRUE, sep = ";",
quote="\"", dec=",", fill = TRUE, comment.char="")
data.troughput01 <- rbind(data.input01,data.input02,data.input03)
data.test <- seq(as.POSIXct("2006-01-01 00:00:00"),as.POSIXct("2006-12-31
23:45:00"),900)
data.troughput02 <- as.zoo(data.troughput01$V2)
index(data.troughput02) <- as.POSIXct(data.troughput01$V1)
data.output01 <- merge(data.troughput04,zoo(,data.test))
data.output02 <- na.approx(data.output01,na.rm = FALSE)


Gabor Grothendieck wrote:
> 
> Try this where we read in a zoo series and then merge it with
> a zero width regularly spaced series to create the result.
> 
> Lines <- "V1,V2
> 2008-10-14 08:45:00,94411.08
> 2008-10-14 08:50:00,90745.45
> 2008-10-14 08:55:00,82963.35
> 2008-10-14 09:00:00,75684.38
> 2008-10-14 09:05:00,78931.82
> 2008-10-14 09:20:00,74580.11
> 2008-10-14 09:25:00,69666.48
> 2008-10-14 09:30:00,77794.89"
> 
> library(zoo)
> z <- read.zoo(textConnection(Lines), header = TRUE, sep = ",", tz = "")
> tt <- seq(time(z)[1], time(z)[length(z)], 5*60)
> merge(z, zoo(, tt))
> 
> The last statement's output will be:
> 
>> merge(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
>            94411.08            90745.45            82963.35           
> 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                  NA                  NA           
> 74580.11
> 2008-10-14 09:25:00 2008-10-14 09:30:00
>            69666.48            77794.89
> 
> 
> See the 3 zoo vignettes for use of zoo series and R News 4/1 (for
> date/time info).
> 
> On Mon, Mar 30, 2009 at 10:38 AM, j.k <kathan at gmx.at> wrote:
>>
>> 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 09:00:00 75684.38
>> 5 2008-10-14 09:05:00 78931.82
>> 6 2008-10-14 09:20:00 74580.11
>> 7 2008-10-14 09:25:00 69666.48
>> 8 2008-10-14 09:30:00 77794.89
>>
>> I have these data combined from different series of measurements.
>> As you can see the problem is that between these series are gaps which I
>> want to fill.
>>
>> The format of the time is POSIXct
>>
>> Are there any suggestions how I can fill these missing times and
>> afterwards
>> interpolate/predict their values?
>>
>> Thanks in advance
>> Johannes
>> --
>> View this message in context:
>> http://www.nabble.com/Add-missing-values-timestamps-tp22784737p22784737.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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