[R] plotting 2 time series data on the same graph

arun smartpink111 at yahoo.com
Sat May 4 16:55:28 CEST 2013



Hi,
One more possibility:
dateA<-seq.Date(as.Date("1jan2012",format="%d%b%Y"),as.Date("14Feb2013",format="%d%b%Y"),by="day")
 dateB<-seq.Date(as.Date("1Mar2012",format="%d%b%Y"),as.Date("30Nov2012",format="%d%b%Y"),by="day")
set.seed(15)
 A<-data.frame(dateA,value=cumsum(rnorm(411)))
 set.seed(25)
 B<-data.frame(dateB,value=cumsum(rnorm(275)))
library(xts)
Anew<-as.xts(A[,-1],order.by=A[,1])
 Bnew<-as.xts(B[,-1],order.by=B[,1])
 res<-merge(Anew,Bnew)
res1<-res[complete.cases(res),]
#install.packages("xtsExtra", repos='http://r-forge.r-project.org')
library(xtsExtra)
plot(res,screens=1,main="Time Series")
plot(res1,col=c(1,3))
A.K.



----- Original Message -----
From: Rui Barradas <ruipbarradas at sapo.pt>
To: Preetam Pal <lordpreetam at gmail.com>
Cc: r-help at r-project.org
Sent: Saturday, May 4, 2013 5:48 AM
Subject: Re: [R] plotting 2 time series data on the same graph

Hello,

I forgot a third possibility


plot(as.ts(cbind(x, y)), plot.type = "single", col = 1:2)


Rui Barradas

Em 04-05-2013 10:37, Rui Barradas escreveu:
> Hello,
>
> Where is the reproducible example? See
>
> http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
>
>
>
> Anyway, see if this does what you need.
>
> set.seed(1)
> x <- cumsum(rnorm(100))
> y <- cumsum(rnorm(100))
>
> ylm <- range(c(x, y))
> plot(as.ts(x), ylim = ylm)
> lines(y, col = "blue")
>
> # Or in one instruction
> matplot(cbind(x, y), type = "l")
>
>
> Hope this helps,
>
> Rui Barradas
>
>
> Em 04-05-2013 10:21, Preetam Pal escreveu:
>> Hi all,
>> I have 2 time series variables : X_t and Y_t  where  t=0,1,2,.......,100
>> I want a plot containing the line charts( time plotted on the x-axis) for
>> both these variables.
>>
>>
>>
>
> ______________________________________________
> R-help at r-project.org mailing list
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> 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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