Getting Rid of NaN in ts Object

Hi Lorenzo,

Try:

tt[is.nan(tt)] <- NA
tt <- na.omit(tt)

Best,

Christian


Am 27.05.2016 um 13:38 schrieb Lorenzo Isella:

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