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Re: st: Program for collecting the totals from tabm
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Program for collecting the totals from tabm
Date
Wed, 18 May 2011 00:33:59 +0100
Thanks on behalf of all user-programmers for the thanks. -tabm- is
part of -tab_chi- from SSC. Please remember the Statalist request to
explain _where_ user-written programs you refer to come from.
-tabm- lets you reach through to -tabulate-'s options, so using
-replace- will give you a dataset that is what -tabm- works with
(temporarily).
But aren't you better off just with -collapse (sum)- followed by
something equally simple?
Nick
On Wed, May 18, 2011 at 12:12 AM, Daniel Chandler
<[email protected]> wrote:
> As a preface I would like to express my gratitude for tabm and the many
> other user-written programs I use all the time (statplot being the most
> recent).
>
> Using tabm I can summarize a number of comparable variables, in this case
> a Likert scale going from 1-6:
>
>
> . tabm iu1staff- iu5staffrev, nofreq row valuelabel(response)
>
> | values
> variable | SD MD D A MA SA
> | Total
> ----------------------+----------------------------------------------------
> --------------+----------
> Staff accepts me for | 2.01 3.02 3.02 11.06
> 34.17 46.73 | 100.00
> Staff is interested | 9.55 12.56 13.07 26.13
> 25.13 13.57| 100.00
> Staff respects my sp | 3.57 1.02 1.02 11.22
> 27.55 55.61 | 100.00
> Staff appreciates my | 1.50 2.50 3.00 17.50
> 35.50 40.00 | 100.00
> Staff doesnšt really | 3.48 7.46 9.45 13.43
> 30.85 35.32 | 100.00
> ----------------------+----------------------------------------------------
> --------------+----------
> Total | 4.02 5.33 5.93
> 15.88 30.65 38.19 | 100.00
>
>
> I have 75 variables that I would like to get the "Totals" for (in groups
> of 5 as above). I would like the totals to be contracted into a table or
> dataset with 15 rows corresponding to the 15 totals rows.
>
> Here is an example done manually (with percentages converted to
> fractions--which is not a necessary part of what I need):
>
> SD MD D A MA SA
> Individual Uniqueness 0.0392 0.0653 0.0933 0.1604 0.319
> 0.3228
> Non-judgmentalism 0.0444 0.1463 0.1556 0.1778 0.2241
> 0.2519
> Motivation 0.0241 0.0352 0.037 0.1204 0.3593
> 0.4241
> Power 0.0243 0.0578 0.069 0.1623 0.3489
> 0.3377
> Respect 0.0241 0.0463 0.0556 0.1481 0.3148
> 0.4111
>
>
> I have not been able to figure out how to do this except manually, which
> won't work as this is to be part of a program run recurrently.
>
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