On Mon, 19 Jan 2009, Gabor Grothendieck wrote:
The statement to read in the data is missing from your post but
I suspect that you are representing the data as daily data so its filling
in 364 or 365 NA's between points. Represent it as the annual data
that it is.
One further pointer: Also loo
The statement to read in the data is missing from your post but
I suspect that you are representing the data as daily data so its filling
in 364 or 365 NA's between points. Represent it as the annual data
that it is. Try this:
Lines <- "Sunspots,Datefield
9.5,1/1/1900
2.7,1/1/1901
5,1/1/1902
24.
On Mon, 19 Jan 2009, stephen sefick wrote:
It would be helpful to have a reproducible dataset to track down what
is happening.
True.
Although in this case it's relatively easy to guess what went wrong.
The user probably has some irregular series, for example daily with
missing days:
x <
Very Sorry for the oversight.
The dataset that I have used is:
Sunspots,Datefield
9.5,1/1/1900
2.7,1/1/1901
5,1/1/1902
24.4,1/1/1903
42,1/1/1904
63.5,1/1/1905
53.8,1/1/1906
62,1/1/1907
48.5,1/1/1908
43.9,1/1/1909
18.6,1/1/1910
5.7,1/1/1911
3.6,1/1/1912
1.4,1/1/1913
9.6,1/1/1914
47.4,1/1/1915
57.1
It would be helpful to have a reproducible dataset to track down what
is happening.
On Mon, Jan 19, 2009 at 3:45 AM, Harsh wrote:
> Hello R List,
> I seem to have a peculiar problem. When using time series data, I get
> the following error when running the acf and pacf function.
> Using the func
Hello R List,
I seem to have a peculiar problem. When using time series data, I get
the following error when running the acf and pacf function.
Using the function acf(dtxts,plot= TRUE,xaxt = "n",col="red",na.action
= na.omit) (where dtxts is a time series object created with package
"xts" ) result
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