R help - Apr 2004 - I'm trying to use package ts (decompose). How do you set up the data/ See attached. thanks

InDATA <-read.table("C:/Data/May 2004/season.txt",header=T)

X <- decompose(InDATA)
print(X)

Period	Connections	
Q1	67519	
Q2	69713	
Q3	68920	
Q4	69452	
Q1	70015	
Q2	59273	
Q3	57063	
Q4	65596	
Q1	73527	
Q2	58586	
Q3	69522	
Q4	60091	
Q1	51686	
Q2	63490	
Q3	55702	
Q4	53200	
Q1	51033	
Q2	48175	
Q3	52709	
Q4	50106	
Q1	50855	
Q2	43466	
Q3	48190	
Q4	41702	
Q1	48747	
Q2	51441	
Q3	42537	
Q4	49145	
Q1	41457	
Q2	39306	
Q3	43121	
Q4	42777	
Q1	40631	
Q2	41764	
Q3	44712	
Q4	38669	
Q1	41367	
Q2	37515	
Q3	36201	
Q4	37650	
Q1	35963	
Q2	38097	
Q3	39854	
Q4	38307	
Q1	39383	
Q2	37015	
Q3	46416	
Q4	40359	
Q1	38098	
Q2	31419	
Q3	31457	
Q4	32817	
Q1	29141	
Q2	31210	
Q3	29555	
Q4	31102	
Q1	32147	
Q2	29351	
Q3	33982	
Q4	29781	
Q1	32134	
Q2	30048	
Q3	27811	
Q4	30126	
Q1	26934	
Q2	27758	
Q3	28372	
Q4	28631	
Q1	29102	
Q2	28372	
Q3	33295	
Q4	29182	
Q1	30343	
Q2	26944	
Q3	26115	
Q4	27551	
Q1	25303	
Q2	26854	
Q3	26911	
Q4	27225	
Q1	28141	
Q2	26710	
Q3	32192	
Q4	28281	
Q1	28958	
Q2	25624	
Q3	24861	
Q4	26459	
Q1	23941	
Q2	25578	
Q3	25281	
Q4	26070	
Q1	26881	
Q2	25496	
Q3	30128	
Q4	26471

Package ts in R contains no functionality, it having been moved to package 
stats.  The function ts() was not in package ts in older versions either.

I have no idea what your data refer to (quarters, probably, but of which 
years?).  Assumming you know the time base, see the help page ?ts for how 
to create a time series.

BTW, read.table is intended for reading a table, not a single variable, 
and scan() might be easier.

On Thu, 29 Apr 2004, Briggs, Meredith M wrote:
> 
> InDATA <-read.table("C:/Data/May 2004/season.txt",header=T)
> 
> X <- decompose(InDATA)
> print(X)
[...]

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595