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 <sagarnikam123 at gmail.com > > 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. >> >> ______________________________________________ >> R-help at r-project.org 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. > > ______________________________________________ > R-help at r-project.org 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.