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how to check given number seq. is time series or not?

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sagarnikam123

how to check given number seq. is time series or not?

i have following numbers

0.889046409368551
1.22726162946495
1.22726162946495
1.35785109728356
1.35785109728356
1.10704609982913
1.4424189950435
1.2277843378837
1.35785109728356
0.970883941918588
0.822170913920467
1.35785109728356
0.358815782262543
0.774234247460432
0.822170913920467
0.822170913920467
0.72599976881814
0.671583894425946
0.813223271443211
0.774234247460432
1.00184802593319
1.4424189950435
1.22726162946495
0.970883941918588
0.358815782262543
1.31016840948316
0.970883941918588
1.4424189950435
0.889046409368551
4.91679981837699
1.2277843378837
1.21605333196293
0.369861996166875
0.774748148811057
0.369861996166875
1.4424189950435
1.22726162946495
1.4424189950435
1.22726162946495
1.16291100715022
2.33863311242767
0.774234247460432
4.91679981837699
0.9670580678417
0.970883941918588
0.9670580678417
1.10704609982913
4.91679981837699
1.4424189950435
1.05410985855726
1.22726162946495
1.21605333196293
1.35785109728356
0.822170913920467
1.4424189950435
0.970883941918588
0.835429195630044
0.774234247460432
1.61328986496929
0.970883941918588
1.2277843378837
1.22726162946495
0.970883941918588
1.10704609982913
1.10704609982913
1.10704609982913
1.4424189950435
1.22726162946495
1.4424189950435
1.35785109728356
0.9670580678417
0.9670580678417
0.885419165744907
1.16291100715022
0.369861996166875
0.9670580678417
0.774748148811057
1.22726162946495
1.4424189950435
1.22726162946495
1.31016840948316
0.813223271443211
1.4424189950435
0.822170913920467
1.05410985855726
0.853014111520372
1.3245534157835
0.774234247460432
0.774234247460432
1.22726162946495
0.889046409368551
1.4424189950435
0.842622628771215
0.889046409368551
0.889046409368551
1.31898472833595
1.4424189950435
1.35785109728356
0.682617341489085
0.965180291004232

i don't want to check by plotting graph of above data(because i have thousands of such data structures)
is there any function in R to check it ?
how can i check validity by programming?

Sagar Nikam
B.Pharm, M.Sc(Bioinformatics)
Software Engineer (Data Research Analyst )
Trendwise Analytics,Bangalore
India

Rui barradas-2

Re: how to check given number seq. is time series or not?

Hello,

You can't.
A collection of observations does not make a time series, you need an
index variable, such as time.

Rui Barradas

Em 26-05-2012 10:13, sagarnikam123 escreveu:

> i have following numbers
>
> 0.889046409368551
> 1.22726162946495
> 1.22726162946495
> 1.35785109728356
> 1.35785109728356
> 1.10704609982913
> 1.4424189950435
> 1.2277843378837
> 1.35785109728356
> 0.970883941918588
> 0.822170913920467
> 1.35785109728356
> 0.358815782262543
> 0.774234247460432
> 0.822170913920467
> 0.822170913920467
> 0.72599976881814
> 0.671583894425946
> 0.813223271443211
> 0.774234247460432
> 1.00184802593319
> 1.4424189950435
> 1.22726162946495
> 0.970883941918588
> 0.358815782262543
> 1.31016840948316
> 0.970883941918588
> 1.4424189950435
> 0.889046409368551
> 4.91679981837699
> 1.2277843378837
> 1.21605333196293
> 0.369861996166875
> 0.774748148811057
> 0.369861996166875
> 1.4424189950435
> 1.22726162946495
> 1.4424189950435
> 1.22726162946495
> 1.16291100715022
> 2.33863311242767
> 0.774234247460432
> 4.91679981837699
> 0.9670580678417
> 0.970883941918588
> 0.9670580678417
> 1.10704609982913
> 4.91679981837699
> 1.4424189950435
> 1.05410985855726
> 1.22726162946495
> 1.21605333196293
> 1.35785109728356
> 0.822170913920467
> 1.4424189950435
> 0.970883941918588
> 0.835429195630044
> 0.774234247460432
> 1.61328986496929
> 0.970883941918588
> 1.2277843378837
> 1.22726162946495
> 0.970883941918588
> 1.10704609982913
> 1.10704609982913
> 1.10704609982913
> 1.4424189950435
> 1.22726162946495
> 1.4424189950435
> 1.35785109728356
> 0.9670580678417
> 0.9670580678417
> 0.885419165744907
> 1.16291100715022
> 0.369861996166875
> 0.9670580678417
> 0.774748148811057
> 1.22726162946495
> 1.4424189950435
> 1.22726162946495
> 1.31016840948316
> 0.813223271443211
> 1.4424189950435
> 0.822170913920467
> 1.05410985855726
> 0.853014111520372
> 1.3245534157835
> 0.774234247460432
> 0.774234247460432
> 1.22726162946495
> 0.889046409368551
> 1.4424189950435
> 0.842622628771215
> 0.889046409368551
> 0.889046409368551
> 1.31898472833595
> 1.4424189950435
> 1.35785109728356
> 0.682617341489085
> 0.965180291004232
>
> i don't want to check by plotting graph of above data(because i have
> thousands of such data structures)
> is there any function in R to check it ?
> how can i check validity by programming?
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/how-to-check-given-number-seq-is-time-series-or-not-tp4631434.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Michael Weylandt

Re: how to check given number seq. is time series or not?

In reply to this post by sagarnikam123

Thank you for your list of numbers. Next time I run out I'll know
where to find some.

Now what exactly is your question? Any series of data can be a time
series -- it's just a matter of interpretation.

Michael

On Sat, May 26, 2012 at 5:13 AM, sagarnikam123 <[hidden email]> wrote:

David Winsemius

Re: how to check given number seq. is time series or not?

On May 26, 2012, at 7:50 AM, R. Michael Weylandt wrote:

> Thank you for your list of numbers. Next time I run out I'll know
> where to find some.
>
> Now what exactly is your question? Any series of data can be a time
> series -- it's just a matter of interpretation.

After I stopped chuckling at Michael's response, I copied that list to
my clipboard, clicked once on my Rconsole window, and typed:

vec <- scan() # and hit return

I then pasted the clipboard contents to the console, watched as 100
numeric values were passed on to 'vec' and hit enter to cause a double
<cr> to signal to scan() to stop entry. I then typed:

plot(vec)

And one can then see that most of the numbers lie between 0 and 1.5. I
thought I saw a "hard ceiling" at around 1.5 and looking at the data I
wondered if the several values of 1.442... were the same:

> vec[vec==1.4424189950435]
[1] 1.442419 1.442419 1.442419 1.442419 1.442419 1.442419 1.442419
1.442419 1.442419 1.442419
[11] 1.442419 1.442419 1.442419

There does seem to be a discrete process underlying this. There are
only 32 discrete values, and here at the 10 most common:

> rev(table(vec)[order(table(vec))] )[1:10]
vec
1.4424189950435 1.22726162946495 1.35785109728356
0.970883941918588 0.774234247460432
13 11 7
7 6
1.10704609982913 0.9670580678417 0.889046409368551
0.822170913920467 4.91679981837699
5 5 5
5 3

Four values stand out as materially different. Three of them appear to
have hit some sort of "secondary ceiling" at a value of 5 and another
is sitting all alone at 2.3 (roughly).

Now as Michael asked .... what WAS the question?

--
David.

>
> Michael
>
> On Sat, May 26, 2012 at 5:13 AM, sagarnikam123 <[hidden email]
> > wrote:
>> i have following numbers
>>
>> 0.889046409368551
>> 1.22726162946495
>> 1.22726162946495
>> 1.35785109728356
>> 1.35785109728356
>> 1.10704609982913
>> 1.4424189950435
>> 1.2277843378837
>> 1.35785109728356
>> 0.970883941918588
>> 0.822170913920467
>> 1.35785109728356
>> 0.358815782262543
>> 0.774234247460432
>> 0.822170913920467
>> 0.822170913920467
>> 0.72599976881814
>> 0.671583894425946
>> 0.813223271443211
>> 0.774234247460432
>> 1.00184802593319
>> 1.4424189950435
>> 1.22726162946495
>> 0.970883941918588
>> 0.358815782262543
>> 1.31016840948316
>> 0.970883941918588
>> 1.4424189950435
>> 0.889046409368551
>> 4.91679981837699
>> 1.2277843378837
>> 1.21605333196293
>> 0.369861996166875
>> 0.774748148811057
>> 0.369861996166875
>> 1.4424189950435
>> 1.22726162946495
>> 1.4424189950435
>> 1.22726162946495
>> 1.16291100715022
>> 2.33863311242767
>> 0.774234247460432
>> 4.91679981837699
>> 0.9670580678417
>> 0.970883941918588
>> 0.9670580678417
>> 1.10704609982913
>> 4.91679981837699
>> 1.4424189950435
>> 1.05410985855726
>> 1.22726162946495
>> 1.21605333196293
>> 1.35785109728356
>> 0.822170913920467
>> 1.4424189950435
>> 0.970883941918588
>> 0.835429195630044
>> 0.774234247460432
>> 1.61328986496929
>> 0.970883941918588
>> 1.2277843378837
>> 1.22726162946495
>> 0.970883941918588
>> 1.10704609982913
>> 1.10704609982913
>> 1.10704609982913
>> 1.4424189950435
>> 1.22726162946495
>> 1.4424189950435
>> 1.35785109728356
>> 0.9670580678417
>> 0.9670580678417
>> 0.885419165744907
>> 1.16291100715022
>> 0.369861996166875
>> 0.9670580678417
>> 0.774748148811057
>> 1.22726162946495
>> 1.4424189950435
>> 1.22726162946495
>> 1.31016840948316
>> 0.813223271443211
>> 1.4424189950435
>> 0.822170913920467
>> 1.05410985855726
>> 0.853014111520372
>> 1.3245534157835
>> 0.774234247460432
>> 0.774234247460432
>> 1.22726162946495
>> 0.889046409368551
>> 1.4424189950435
>> 0.842622628771215
>> 0.889046409368551
>> 0.889046409368551
>> 1.31898472833595
>> 1.4424189950435
>> 1.35785109728356
>> 0.682617341489085
>> 0.965180291004232
>>
>> i don't want to check by plotting graph of above data(because i have
>> thousands of such data structures)
>> is there any function in R to check it ?
>> how can i check validity by programming?
>>
>>
>>
>> --
>> View this message in context: http://r.789695.n4.nabble.com/how-to-check-given-number-seq-is-time-series-or-not-tp4631434.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> [hidden email] mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

sagarnikam123

Re: how to check given number seq. is time series or not?

In reply to this post by Rui barradas-2

Yes,sir index of above/below numbers is time (both dataset are same)

x
1 0.8890464
2 1.2272616
3 1.2272616
4 1.3578511
5 1.3578511
6 1.1070461
7 1.4424190
8 1.2277843
9 1.3578511
10 0.9708839
11 0.8221709
12 1.3578511
13 0.3588158
14 0.7742342
15 0.8221709
16 0.8221709
17 0.7259998
18 0.6715839
19 0.8132233
20 0.7742342
21 1.0018480
22 1.4424190
23 1.2272616
24 0.9708839
25 0.3588158
26 1.3101684
27 0.9708839
28 1.4424190
29 0.8890464
30 4.9167998
31 1.2277843
32 1.2160533
33 0.3698620
34 0.7747481
35 0.3698620
36 1.4424190
37 1.2272616
38 1.4424190
39 1.2272616
40 1.1629110
41 2.3386331
42 0.7742342
43 4.9167998
44 0.9670581
45 0.9708839
46 0.9670581
47 1.1070461
48 4.9167998
49 1.4424190
50 1.0541099
51 1.2272616
52 1.2160533
53 1.3578511
54 0.8221709
55 1.4424190
56 0.9708839
57 0.8354292
58 0.7742342
59 1.6132899
60 0.9708839
61 1.2277843
62 1.2272616
63 0.9708839
64 1.1070461
65 1.1070461
66 1.1070461
67 1.4424190
68 1.2272616
69 1.4424190
70 1.3578511
71 0.9670581
72 0.9670581
73 0.8854192
74 1.1629110
75 0.3698620
76 0.9670581
77 0.7747481
78 1.2272616
79 1.4424190
80 1.2272616
81 1.3101684
82 0.8132233
83 1.4424190
84 0.8221709
85 1.0541099
86 0.8530141
87 1.3245534
88 0.7742342
89 0.7742342
90 1.2272616
91 0.8890464
92 1.4424190
93 0.8426226
94 0.8890464
95 0.8890464
96 1.3189847
97 1.4424190
98 1.3578511
99 0.6826173
100 0.9651803

kindly tell me is this is time series or not ?
if yes,how can i find by coding/programming?

Sagar Nikam
B.Pharm, M.Sc(Bioinformatics)
Software Engineer (Data Research Analyst )
Trendwise Analytics,Bangalore
India

sagarnikam123

Re: how to check given number seq. is time series or not?

In reply to this post by Michael Weylandt

is this is time series ?

x
1 2
2 2
3 2
4 2
5 2
6 2
7 2
8 2
9 2
10 2
11 2
12 2

Sagar Nikam
B.Pharm, M.Sc(Bioinformatics)
Software Engineer (Data Research Analyst )
Trendwise Analytics,Bangalore
India

Jeff Newmiller

Re: how to check given number seq. is time series or not?

could be. how would you know?
---------------------------------------------------------------------------
Jeff Newmiller The ..... ..... Go Live...
DCN:<[hidden email]> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Research Engineer (Solar/Batteries O.O#. #.O#. with
/Software/Embedded Controllers) .OO#. .OO#. rocks...1k
---------------------------------------------------------------------------
Sent from my phone. Please excuse my brevity.

sagarnikam123 <[hidden email]> wrote:

>is this is time series ?
>
>
> x
>1 2
>2 2
>3 2
>4 2
>5 2
>6 2
>7 2
>8 2
>9 2
>10 2
>11 2
>12 2
>
>
>--
>View this message in context:
>http://r.789695.n4.nabble.com/how-to-check-given-number-seq-is-time-series-or-not-tp4631434p4631483.html
>Sent from the R help mailing list archive at Nabble.com.
>
>______________________________________________
>[hidden email] mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

Robert Baer

Re: how to check given number seq. is time series or not?

In reply to this post by sagarnikam123

Perhaps ?str is the command you seek?

-----Original Message-----
From: sagarnikam123
Sent: Saturday, May 26, 2012 10:24 PM
To: [hidden email]
Subject: Re: [R] how to check given number seq. is time series or not?

Yes,sir index of above/below numbers is time (both dataset are same)

x
1 0.8890464
2 1.2272616
3 1.2272616
4 1.3578511
5 1.3578511
6 1.1070461
7 1.4424190
8 1.2277843
9 1.3578511
10 0.9708839
11 0.8221709
12 1.3578511
13 0.3588158
14 0.7742342
15 0.8221709
16 0.8221709
17 0.7259998
18 0.6715839
19 0.8132233
20 0.7742342
21 1.0018480
22 1.4424190
23 1.2272616
24 0.9708839
25 0.3588158
26 1.3101684
27 0.9708839
28 1.4424190
29 0.8890464
30 4.9167998
31 1.2277843
32 1.2160533
33 0.3698620
34 0.7747481
35 0.3698620
36 1.4424190
37 1.2272616
38 1.4424190
39 1.2272616
40 1.1629110
41 2.3386331
42 0.7742342
43 4.9167998
44 0.9670581
45 0.9708839
46 0.9670581
47 1.1070461
48 4.9167998
49 1.4424190
50 1.0541099
51 1.2272616
52 1.2160533
53 1.3578511
54 0.8221709
55 1.4424190
56 0.9708839
57 0.8354292
58 0.7742342
59 1.6132899
60 0.9708839
61 1.2277843
62 1.2272616
63 0.9708839
64 1.1070461
65 1.1070461
66 1.1070461
67 1.4424190
68 1.2272616
69 1.4424190
70 1.3578511
71 0.9670581
72 0.9670581
73 0.8854192
74 1.1629110
75 0.3698620
76 0.9670581
77 0.7747481
78 1.2272616
79 1.4424190
80 1.2272616
81 1.3101684
82 0.8132233
83 1.4424190
84 0.8221709
85 1.0541099
86 0.8530141
87 1.3245534
88 0.7742342
89 0.7742342
90 1.2272616
91 0.8890464
92 1.4424190
93 0.8426226
94 0.8890464
95 0.8890464
96 1.3189847
97 1.4424190
98 1.3578511
99 0.6826173
100 0.9651803

kindly tell me is this is time series or not ?
if yes,how can i find by coding/programming?

--
View this message in context:
http://r.789695.n4.nabble.com/how-to-check-given-number-seq-is-time-series-or-not-tp4631434p4631482.html
Sent from the R help mailing list archive at Nabble.com.

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

------------------------------------------
Robert W. Baer, Ph.D.
Professor of Physiology
Kirksville College of Osteopathic Medicine
A. T. Still University of Health Sciences
800 W. Jefferson St.
Kirksville, MO 63501
660-626-2322
FAX 660-626-2965

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.