To recover also the date:
x<- read.table('d.dat', na.strings='-')
x$V1<- as.Date(x$V1, "%m/%d/%Y")
Hope it helps
mario
On 16-Mar-11 06:45, Rahul Kaura wrote:
I created a couple of timeSeries objects - when I was merging them , I got an
error.
Looking at the d
s <- read.table('d.dat', na.strings='-')
On 16-Mar-11 06:45, Rahul Kaura wrote:
06/30/2007 0.0028 0.0183 0.0122 0.0042 0.0095-
07/31/2007 -0.0111 0.0255 0.0096 -0.0069 -0.0024 0.0043
08/31/2007 -0.0108 -0.0237 -0.0062 -0.0138 -0.0173 -0.0
I created a couple of timeSeries objects - when I was merging them , I got an
error.
Looking at the data , I see that one of the time series has
06/30/2007 0.0028 0.0183 0.0122 0.0042 0.0095 -
07/31/2007 -0.0111 0.0255 0.0096 -0.0069 -0.0024 0.0043
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