Apparently, the Fed changed the way they handled missing values in the
interest rates files; now they use a period instead of #N/A like they
did in my old files. When I do a global replace and replace the periods
with a blank prior to importing in R, I get what I used to get:
DTB3<-read.table("C:\\Program
Files\\R\\R-2.7.1\\DTB3.csv",header=TRUE,sep=",")
> tail(DTB3)
DATE VALUE
14233 2008-07-23 1.56
14234 2008-07-24 1.62
14235 2008-07-25 1.71
14236 2008-07-28 1.70
14237 2008-07-29 1.69
14238 2008-07-30 1.67
> DTB3<-as.timeSeries(DTB3)
> tail(DTB3)
TS.1
2008-07-23 1.56
2008-07-24 1.62
2008-07-25 1.71
2008-07-28 1.70
2008-07-29 1.69
2008-07-30 1.67
John
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Kerpel, John
Sent: Friday, August 01, 2008 1:13 PM
To: r-help@r-project.org
Subject: [R] Reading data in R-metrics
Hi Folks!
I used the code below previously with no problems, but now I get:
DTB3<-read.table("C:\\Program
Files\\R\\R-2.7.1\\DTB3.csv",header=TRUE,sep=",")
> tail(DTB3)
DATE VALUE
14233 2008-07-23 1.56
14234 2008-07-24 1.62
14235 2008-07-25 1.71
14236 2008-07-28 1.70
14237 2008-07-29 1.69
14238 2008-07-30 1.67
> DTB3<-as.timeSeries(DTB3)
> tail(DTB3)
TS.1
2008-07-23 100
2008-07-24 106
2008-07-25 115
2008-07-28 114
2008-07-29 113
2008-07-30 111
What might be causing the values to change when I go from read.table to
as.timeSeries?
Many thanks.
John
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