Without a reproducible example, i.e. the input file, one can't say
much but in general you could read it in using read.table, remove
the NAs and then convert it to zoo.
On Wed, Feb 25, 2009 at 11:29 PM, Rob Denniker
<bearmarketsr...@inbox.com> wrote:
> Dear list,
>
> I have an irregular time series saved and exported as a zoo object. What is
> the trick to force zoo to ignore the missing dates when reading it back in?
> Thanks.
>
>> str(g)
> ‘zoo’ series from 1948-11-02 to 2012-11-06
> Data: num [1:14881, 1:8] 1 0 0 0 0 0 0 0 0 0 ...
> - attr(*, "dimnames")=List of 2
> ..$ : NULL
> ..$ : chr [1:8] "session" "midterm" "day.of.wk" "elapsed" ...
> Index: Class 'Date' num [1:14881] -7730 -7303 -7302 -7301 -7300 ...
>
>> write.zoo(g, file = "gdata.txt", index.name = "date", append = F, quote = T,
>> sep = ",")
>
>> h <- read.zoo("gdata.txt", sep = ",", format = "Y-%m-%d")
> Error in read.zoo("gdata.txt", sep = ",", format = "Y-%m-%d") :
> index contains NAs
>
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>
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