[R] Getting Rid of NaN in ts Object
Lorenzo Isella
lorenzo.isella at gmail.com
Fri May 27 13:38:14 CEST 2016
On Fri, May 27, 2016 at 08:46:20PM +1000, Jim Lemon wrote:
>Hi Lorenzo,
>Maybe:
>
>tt<-tt[!is.nan(tt)]
>
>Jim
Not really.
> tt<-structure(c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
+ NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 1133.09, 1155.77, 1179.12,
+ 1182.85, 1133.43, 1103.36, 1081.19, 1058.55, 1056.95, 1059.13,
+ 1018.18, 920.62, 865.99, 856.29, 841.58, 857.7, 852.71, 890.76
+ ), .Tsp = c(1980, 2015, 1), class = "ts")
>
> tt2<-tt[!is.nan(tt)]
> class(tt)
[1] "ts"
> class(tt2)
[1] "numeric"
and I lose all the info about the years.
Lorenzo
>
>
>On Fri, May 27, 2016 at 8:14 PM, Lorenzo Isella
><lorenzo.isella at gmail.com> wrote:
>> Dear All,
>> I am sure the answer is a one liner, but I am banging my head against
>> the wall and googling here and there has not helped much.
>> Consider the following time series
>>
>> tt<-structure(c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
>> NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 1133.09, 1155.77, 1179.12,
>> 1182.85, 1133.43, 1103.36, 1081.19, 1058.55, 1056.95, 1059.13,
>> 1018.18, 920.62, 865.99, 856.29, 841.58, 857.7, 852.71, 890.76
>> ), .Tsp = c(1980, 2015, 1), class = "ts")
>>
>>
>> where the NaN do *not* occur internally. How can I automatically get
>> rid of them and adjust the start and end year of the time series
>> accordingly?
>> Many thanks
>>
>> Lorenzo
>>
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