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

8 messages · Rui Barradas, R. Michael Weylandt, David Winsemius +3 more

sagarnikam123
# 
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?



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Rui Barradas
# 
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:
R. Michael Weylandt
# 
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 <sagarnikam123 at gmail.com> wrote:
David Winsemius
#
On May 26, 2012, at 7:50 AM, R. Michael Weylandt wrote:

            

      
      
      
    

        
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?

  
    

      
      
    

  


  


      

    

    

      
      

        


  

        

      sagarnikam123
    

    

      
      #
    

  


  

      
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?


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      Jeff Newmiller
    

    

      
      #
    

  


  

      
could be. how would you know?
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sagarnikam123 <sagarnikam123 at gmail.com> wrote:

        

            

      
      
      
    

        

      
      
    

  
  


  


      

    

    
2 days later

    

      
      

        


  

        

      Robert Baer
    

    

      
      #
    

  


  

      
Perhaps ?str is the command you seek?

-----Original Message----- 
From: sagarnikam123
Sent: Saturday, May 26, 2012 10:24 PM
To: r-help at r-project.org
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?


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