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# Re: st: simple calculations across rows

 From "B. Timothy Walsh" <[email protected]> To [email protected] Subject Re: st: simple calculations across rows Date Mon, 16 Jul 2012 11:10:14 -0400

```Oops! Highly embarrassing--apologies all around. Stata it is!!

```
```
Thanks very much!
Tim

```
--On Monday, July 16, 2012 3:58 PM +0100 Nick Cox <[email protected]> wrote:
```
```
```Better to say you are a beginning user, as you have not yet learned
how to spell "Stata"!!!

That detail aside, you can do things like this:

egen mean_1 = mean(measure / (day == 1 & inrange(period, 3, 4))), by(id)
egen mean_2 = mean(measure / (day == 2 & inrange(period, 3, 4))), by(id)

egen tag = tag(id)

scatter mean_2 mean_1 if tag

On the first device, note that an expression like

(day == 1 & inrange(period, 3, 4))

is 1 when true and 0 when false; correspondingly

measure / expression is measure when expression is 1 and missing (and
so ignored) when expression is 0. For more, see

Cox, N.J. 2011. Speaking Stata: Compared with ...Stata Journal 11(2):
305-314

Note that tagging is necessary to avoid each summary being used 12 times.

Nick

On Mon, Jul 16, 2012 at 3:37 PM, B. Timothy Walsh <[email protected]>
wrote:

```
```I am a beginner-to-intermediate level STATA user, and would like to find
a solution to what I hope is a relatively straightforward problem. I have
looked a bit at the archives, and have been led in the direction of mata,
but am wondering if another (less daunting?) method might be available.

I am importing data from a device and would like to use STATA to do some
data reduction. The device monitors types of physical activity over 2
days, and the data are provided in rows, each of which contains a
summary of data over pre-defined 4 hour blocks, like 8 AM to 12N. So,
each subject has 6 rows of data/day and a total of 12 rows for 2 days.

What I wish to do is to be able to summarize--like simple averages,
etc.--across some but not all time periods, and, maybe, days. For
example, for each subject, calculate the total activity over the 8AM to
4PM blocks on day 1 and compare that to the same measure on day 2. Etc.

Here is a somewhat simplified outline of how one subject's data might
look for the first 3 periods of day 1:

ID      DAY             PERIOD  MEASURE
i       1               1               Xi11
i       1               2               Xi12
i       1               3               Xi13

I have only a modest dataset, so I do not need particularly efficient
code. Better code that is easy to interpret and be modified by a novice
such as myself.
```
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```
```
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```