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st: From: António S.P. <slanton7@gmail.com>


From   owner-statalist@hsphsun2.harvard.edu
To   statalist@hsphsun2.harvard.edu
Subject   st: From: António S.P. <slanton7@gmail.com>
Date   Thu, 15 Jul 2010 17:43:31 +0100

Hi all,


I think this is a very basic loop. I need to get the values of NMEV
(number of EV’s per month (here without the “.”) for every 27th day of
each month (between 1980 and 1995, 6100 obs.). I have moving sums of
counts for last week, last month, etc., but I need a “static” sum also
and doing that manually is a little painful and absurd. In this case,
I have 0 in my first 27th day but as EV_s moves along (it sums
occurrences) it behaves as a moving sum. Due to the fact that I have
longitudinal data, I prefer to count each monthly value of NMEV over t
than over DATE, for further analysis. I would greatly appreciate, too,
if someone tells me how to count those zeros or peace spells between
EV==1’s for the whole period and how to deal with the 256 cases in
which I have more than one value for EV on the same day (14 Feb 80 in
my sample, for example). Note that my “t” records two consecutive
values for that date, a complication that I would like to avoid
without having NA´s in that variable.



Thanks in advance,

António



EV    EV_s  t     NMEV  DATE

0     0         1           01 Jan 80

0     0         2           02 Jan 80

0     0         3           03 Jan 80

0     0         4           04 Jan 80

0     0         5           05 Jan 80

0     0         6           06 Jan 80

0     0         7           07 Jan 80

0     0         8           08 Jan 80

0     0         9           09 Jan 80

0     0        10          10 Jan 80

0     0        11          11 Jan 80
0     0        12          12 Jan 80

0     0        13          13 Jan 80

0     0        14          14 Jan 80

0     0        15          15 Jan 80

0     0        16          16 Jan 80

0     0        17          17 Jan 80

0     0        18          18 Jan 80

0     0        19          19 Jan 80

0     0        20          20 Jan 80

0     0        21          21 Jan 80

0     0        22          22 Jan 80

0     0        23          23 Jan 80

0     0        24          24 Jan 80

0     0        25          25 Jan 80

0     0        26          26 Jan 80

0     0        27          27 Jan 80

0     0        28          28 Jan 80

0     0        29          29 Jan 80

0     0        30          30 Jan 80

0     0        31          31 Jan 80

0     0        32          01 Feb 80

0     0        33          02 Feb 80

0     0        34          03 Feb 80

0     0        35          04 Feb 80

0     0        36          05 Feb 80

0     0        37          06 Feb 80

0     0        38          07 Feb 80

0     0        39          08 Feb 80

0     0        40          09 Feb 80

0     0        41          10 Feb 80

1     1        42          11 Feb 80

1     2        43          12 Feb 80

0     2        44          13 Feb 80

1     3        45          14 Feb 80

1     4        46          14 Feb 80

1     6        48          15 Feb 80

1     5        47          15 Feb 80

0     6        49          16 Feb 80

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