[R] R: ts - objects

[Marcus Eger]

Hello,
I faced some difficulties using time series objects.

----------------------------------------------------------------------------
1. Why is the time data changed, when I, e.g., apply sqrt(arrts), but
not
   when arrts^0.5 ?
   This is my examples time series:
----------------------------------------------------------------------------
> arrts
Time Series:
Start = 3 
End = 23 
Frequency = 0.2 
     [,1] [,2]
[1,]    1    6
[2,]    2    7
[3,]    3    8
[4,]    4    9
[5,]    5   10
> time(arrts)
Time Series:
Start = 3 
End = 23 
Frequency = 0.2 
[1]  3  8 13 18 23
> 
> time(sqrt(arrts))
Time Series:
Start = c(1, 1) 
End = c(5, 1) 
Frequency = 1 
[1] 1 2 3 4 5
>
> time(arrts^0.5)
Time Series:
Start = 3 
End = 23 
Frequency = 0.2 
[1]  3  8 13 18 23
>

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2. (At least) boolean indexing with matrices does not seem to work
properly:
----------------------------------------------------------------------------
> arrts[is.finite(arrts)]
Error: subscript (10) out of bounds, should be at most 5
> 
> unclass(arrts)[is.finite(arrts)]
 [1]  1  2  3  4  5  6  7  8  9 10

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This problem arose when I tried to plot my time series: > plot(arrts)
It was easy to fix in plot.ts:
----------------------------------------------------------------------------
....
  if (is.null(ylim)) 
    ylim <- range(unclass(x)[is.finite(x)])  #by ME, 14-07-99
#    ylim <- range(x[is.finite(x)])
  plot.new()
....

-----------------------------------------------------------------------------
3. Another problem had to do with the value of delta and/or start:
-----------------------------------------------------------------------------
> time(ts(c(1,2,3,4),start=3,delta=1.5))
Error: invalid start
> 
> time(ts(c(1,2,3,4),start=3,delta=1.4))
Time Series:
Start = 3 
End = 7.2 
Frequency = 0.7142857 
[1] 3.0 4.4 5.8 7.2
> 

-----------------------------------------------------------------------------
I´ not sure whether I understood the complete philosphy behind the time
series concept. For me, I just need a structure that supports multiple 
repetitions/ensembles of the same random variable/signal and a time
scale.

Thanks for feedback
 - Marcus Eger

+-------------------------------------------------------
| Marcus Eger
| Philipps Universitaet Marburg
| Fachbereich Physik AG Neurophysik
| Renthof 7
| 35032 Marburg
| Tel. +49 6421 284169
| Fax  +49 6421 287034
+-------------------------------------------------------
| E-Mail: marcus.eger at physik.uni-marburg.de
| http://www.physik.uni-marburg.de/bio/mitarbei/eger.htm
+-------------------------------------------------------
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