Displaying 5 results from an estimated 5 matches for "2001q4".
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20014
2009 Mar 04
1
dividing ts objects of different frequencies
...ly divide these time series:
br.ts = ts(data=br.df[,-1], frequency = 4, start=c(2001,1), end=c(2008,2))
distPop.ts = ts(data=distPop.df[,-1], frequency=1, start=(2000))
The time series I want is:
br.ts[2001Q1]/distPop.ts[2001] , br.ts[2001Q2]/distPop[2001],
br.ts[2001Q3]/distPop.ts[2001] , br.ts[2001Q4]/distPop[2001],
br.ts[2002Q1]/distPop.ts[2002] , br.ts[2002Q2]/distPop[2002],
etc.
This would not be too difficult to write but does anything like this already
exist?
Thank you,
-stephen
--
==========================================
Stephen J. Barr
University of Washington
Dept. of Applied and...
2013 Feb 20
1
To convert a quarterly data to a monthly data.
Hello,
I have a data set has
2001Q1 100
2001Q2 101
2001Q3 120
2001Q4 103
...
And would like to convert it to a monthly data. i.e.
200101 XXX
200102 XXX
200103 XXX
200104 XXX
200105...
2010 Feb 03
1
plm package index
Dear all,
i just wonder if there´s a way to use a two column time index field in plm package.
the manual says the following concerning data indexing:
a character vector of length two containing the names of the individual and the time
index,
What would y´all do with a quarterly dataset that contains one column for the period and one for the year. Do I have to convert it to one single date
2007 Jan 05
0
HTB burst howto ?
...th with burst to ~ 24Mb
I haven''t understand well how to cburst , burst parameters (calculate
values) !
Seems that If I don''t specify these parameters the bandwith is shapped
to 20Mb without any burst ?
I''ve found this discussion
http://mailman.ds9a.nl/pipermail/lartc/2001q4/001972.html
Does anyone can light me ?
Regards
Sébastien
2013 May 03
2
Find the flow data from its accumulation of the panel data
Hi,
I have the panel data of income statement of several banks. The date
9803 means 1998-Q1, 9806 means 1998-Q2, etc. I transform the date code to 1
(for 1998Q1), 2 (for 1998Q2), ...., 16 (for 2011Q4) where 1, 2, .... are
placed in Col1.
Now the income statement of a specific quarter is actually the
accumulation from the beginning of the year. For example, the cost data of
1999Q3 is the