On Thu, 7 Apr 2005 08:26:41 -0700 (PDT) JTW wrote:
> Dear List,
>
> I have a one-column data set in .csv format.
>
> I used read.csv to import the data into R, as follows:
>
> x <- read.csv("data.csv", header = TRUE, sep = ",")
>
> The data points have a 'dates' attribute, which is in
> a separatel .csv file. I used the same command as
> above to import it into R.
>
> To assoicate the 'dates' attribute with the data
> points, I did:
>
> > attributes(x)<-date
>
> Which resulted in:
>
> Error in "attributes<-"(`*tmp*`, value = date) :
> attributes must be in a list
>
> So then I did:
>
> > attributes(x)<-list(date)
>
> Again, got an error, though slightly different this
> time:
>
> Error in "attributes<-"(`*tmp*`, value = list(date)) :
> attributes must be named
>
> Any help is appreciated.
The error message is pretty informative, the assignment needs a named
list, e.g.:
R> x <- 1:10
R> attributes(x) <- list(foo = letters[1:10])
R> x
[1] 1 2 3 4 5 6 7 8 9 10
attr(,"foo")
[1] "a" "b" "c" "d" "e"
"f" "g" "h" "i" "j"
Note, that this will strip off all other attributes. To add one
attribute, you can do
R> attr(x, "bar") <- LETTERS[1:10]
R> x
[1] 1 2 3 4 5 6 7 8 9 10
attr(,"foo")
[1] "a" "b" "c" "d" "e"
"f" "g" "h" "i" "j"
attr(,"bar")
[1] "A" "B" "C" "D" "E"
"F" "G" "H" "I" "J"
Furthermore, the data you describe look like a time series. So you might
want to store the data as a time series. For time series with a date
attribute of class "Date", look at the zoo package.
Z
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