Message-ID: <971536df1001290640p553d8fb0u1e4c4669ddec4cd5@mail.gmail.com>
Date: 2010-01-29T14:40:24Z
From: Gabor Grothendieck
Subject: use zoo package with multiple column data sets
In-Reply-To: <298a6f61001290534l9ef3ba0tf79854c218c47a84@mail.gmail.com>
Please provide a reproducible examples. You can use the following style:
> Lines <- "01:01:01 11 55
+ 01:01:04 22 66
+ 01:01:07 33 77
+ 01:01:10 44 88"
> library(zoo)
> library(chron)
> z <- read.zoo(textConnection(Lines), FUN = times)
> z
V2 V3
01:01:01 11 55
01:01:04 22 66
01:01:07 33 77
01:01:10 44 88
On Fri, Jan 29, 2010 at 8:34 AM, e-letter <inpost at gmail.com> wrote:
> Assuming my documentation is correct, my version shows faq 1 to refer
> to duplicate times but if file2 is:
>
> 01:01:01 ? ? ? ?11 ? ? ?55
> 01:01:04 ? ? ? ?22 ? ? ?66
> 01:01:07 ? ? ? ?33 ? ? ?77
> 01:01:10 ? ? ? ?44 ? ? ?88
>
> I cannot see what is duplicate? If I create two new files:
>
> file3:
> 01:01:01 ? ? ? ?11
> 01:01:04 ? ? ? ?22
> 01:01:07 ? ? ? ?33
> 01:01:10 ? ? ? ?44
>
> file4:
> 01:01:01 ? ? ? ?55
> 01:01:04 ? ? ? ?66
> 01:01:07 ? ? ? ?77
> 01:01:10 ? ? ? ?88
>
> The previous commands work:
>
> z1<-read.zoo("path/to/file1.csv",header=TRUE,sep=",",FUN=times)
> z2<-read.zoo("path/to/file3.csv",header=TRUE,sep=",",FUN=times)
> z3<-(na.approx(merge(z1,z2),time(z1)))
> plot(z3$z1,z3$z2)
>
> and:
>
> z1<-read.zoo("path/to/file1.csv",header=TRUE,sep=",",FUN=times)
> z2<-read.zoo("path/to/file4.csv",header=TRUE,sep=",",FUN=times)
> z3<-(na.approx(merge(z1,z2),time(z1)))
> plot(z3$z1,z3$z2)
>
> Shouldn't I be able to have one file containing all the columns I want
> to make graphs, instead of having to create numerous files of only two
> columns of data?
>