Thanks a lot for your help. I did not know that I had to use time-series date formats for this problem.
gen m_onset = mofd(d_onset)
histogram m_onset, width(1) frequency ///
xlabel(, format(%tmm_y))
-----Urspr�ngliche Nachricht-----
Von: Lee Sieswerda [mailto:[email protected]]
Gesendet: Donnerstag, 7. August 2003 22:38
An: '[email protected]'
Betreff: st: RE: RE: histogramm and dates
A close alternative to -histogram- is -twoway bar-. You said that you had
unsuccessfully tried a bar graph, but I would guess that you used -graph
bar-, not -twoway bar-. -twoway bar- would fill in the missing months
(assuming that you have your month variable in date format).
Lee Sieswerda, Epidemiologist
Thunder Bay District Health Unit
[email protected]
-----Original Message-----
From: Nick Cox [mailto:[email protected]]
Sent: Thursday, August 07, 2003 10:55 AM
To: [email protected]
Subject: st: RE: histogramm and dates
Dr Veit Grote, MSc
> I have cases that were detetcted between the 1st May 1997
> and the 19th June 2001 (d_onset). I like to have a
> histogram of the distribution of the number of cases by
> month, showing also the months with missing values, i.e. I
> like to have a true time scale. I could not find out how I
> could accomplish this. I tried (arbitrarily choosing 50 bins):
>
> histogram d_onset, bin(50) frequency xlabel(#50,
> angle(vertical) format(%dmy))
>
> This gives me an idea of the general distribution, but the
> bins are not months. If I create a new variable grouping
> all cases per month and year, I could have a bar graph with
> correct numbers per month, but time gaps would not show.
I am not clear what the problem is. Did you convert
to a month variable and try a histogram? I would
go
gen m_onset = mofd(d_onset)
histogram m_onset, w(1)
etc.
Nick
[email protected]
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