Thanks for this.
On your last point, I hope not; you should continue to regard
-stripplot- as a bigger deal than -anovaplot-.
Nick
[email protected]
David Airey
Wow. And to think I have been using methods on that page rather than -
anovaplot-? What a dummy. Tsk.
Awesome and thanks Nick! Now maybe -anovaplot- will rival your -
stripplot- as my favorite graphic command.
On Apr 27, 2009, at 4:55 AM, Nick Cox wrote:
> That's a very helpful reference to keep questions clear and specific.
>
> That web page gives two graphs, and (modulo cosmetic details) both are
> obtainable directly via -anovaplot-. The only twist is that the -
> anova-
> to precede it is simpler than the -anova- used as example.
>
> use http://www.ats.ucla.edu/stat/stata/examples/kirk/spf2-4, clear
> anova y a b a*b
> anovaplot
> anovaplot, scatter(ms(none))
> anovaplot b a
> anovaplot b a, scatter(ms(none))
>
> The moral that the plots you want may pertain to a simpler ANOVA than
> that you fit is valuable, and I'll build this example into the next
> revision of the help for -anovaplot-.
>
> Nick
> [email protected]
>
> David Airey
>
> Typical plots in the context of a split plot design are here:
>
> http://www.ats.ucla.edu/stat/stata/examples/kirk/kirkstata12.htm
>
> On Apr 26, 2009, at 1:19 PM, David Airey wrote:
>
>> In the simplest within subject design, the paired ttest, it makes
>> sense to plot the data by subject, a line per subject. Or if you
>> measure subjects repeatedly over time, it also makes sense to keep
>> the graphic by subject. Or if you measure two groups, pre and post,
>> it makes sense to plot either two groups of different colored lines
>> (one line per subject) or ignore subject and make a profile plot as
>> other software does. As far as I can tell, none of the permutations
>> of the factors does this, and that is why I said anovaplot is for
>> between subjects designs only, or as the help says with maybe one
>> covariate. My query was as much to Diego, who seemed satisfied with
>> his use of -anovaplot- in a repeated measures context. I was just
>> curious what his final plot looked like and from what model.
>
> On Apr 26, 2009, at 12:14 PM, Nick Cox wrote:
>
>>> You use it the way you expect to be most fruitful.
>>>
>>> I'm not minded to go upstream and find out what the example is
>>> about, or
>>> learn enough about the subject-matter to make a guess at what
>>> should be
>>> most helpful.
>>>
>>> But the default -anovaplot- has no inbuilt intelligence. It's likely
>>> that some permutation of the factors improves on the default plot,
>>> for
>>> example
>>>
>>> anovaplot s a b
>>>
>>> A simple but important issue is that whenever identifiers are quite
>>> arbitrary, putting them on one axis may not yield a clear picture.
>>> It
>>> may be worth re-labelling identifiers to make structure clearer.
>
> David Airey
>
>>> I always use it for between subjects ANOVAs. Perfect for that.
>>>
>>> The key thing in my response is that _I_ have not been satisfied
>>> with
>>> my use in within subject designs or mixed models.
>>>
>>> Maybe I was not using it correctly. Let's use an example from UCLA
>>> ATS, so that I can get it as correctly intended.
>>>
>>> From
>>>
>>> http://www.ats.ucla.edu/stat/stata/faq/xtmixed.htm
>>>
>>> just focusing on the ANOVA aspects of the page, let's do:
>>>
>>> use http://www.ats.ucla.edu/stat/stata/examples/kirk/spf2-4, clear
>>> anova y a / s|a b a*b /, repeated(b)
>>>
>>> How do you use -anovaplot- here?
>
> On Apr 26, 2009, at 11:26 AM, Nick Cox wrote:
>
>>>> 2.1.1 is the latest publicly available version.
>>>>
>>>> -anovaplot- plots observed and fitted values after -anova- in
>>>> terms of
>>>> predictor levels.
>>>>
>>>> It's a bit surprising to hear that you never found that useful.
>>>> What
>>>> do
>>>> you do instead?
>>>>
>>>> A while back I went carefully through various classic texts on
>>>> ANOVA
>>>> from the 1950s. As I recall none of them included any plots based
>>>> on
>>>> data.
>
> David Airey
>
>>>> I never found -anovaplot- useful for anything but between subject
>>>> designs. I'd be curious to see the repeated measures plots using -
>>>> anovaplot-.
>>>>
>>>> Is the version on SSC not the latest?
>>>>
>>>> I have
>>>>
>>>> . which anovaplot
>>>> /Users/dairey/Library/Application Support/Stata/ado/plus/a/
>>>> anovaplot.ado
>>>> *! 2.1.1 NJC 6 November 2004
>
> On Apr 26, 2009, at 10:52 AM, Nick Cox wrote:
>
>>>>> Thanks to Diego for this interesting question and to Thomas for
>>>>> answering it so fully.
>>>>>
>>>>> To fill in a gap and to fill out the implicitly needed discussion:
>>>>>
>>>>> -anovaplot- is a program in the -modeldiag- package written up in
>>>>> the
>>>>> Stata Journal within
>>>>>
>>>>> SJ-4-4 gr0009 . . . . . . . . . . Speaking Stata: Graphing model
>>>>> diagnostics
>>>>> . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N.
>>>>> J. Cox
>>>>> (help anovaplot, indexplot, modeldiag, ofrtplot, ovfplot,
>>>>> qfrplot, racplot, rdplot, regplot, rhetplot, rvfplot2,
>>>>> rvlrplot, rvpplot2 if installed)
>>>>> Q4/04 SJ 4(4):449--475
>>>>> plotting diagnostic information calculated from residuals
>>>>> and fitted values from regression models with continuous
>>>>> responses
>>>>>
>>>>> There's also an equivalent package on SSC that includes older
>>>>> versions
>>>>> of these programs.
>>>>>
>>>>> The paper is accessible to all via
>>>>>
>>>>> http://www.stata-journal.com/sjpdf.html?articlenum=gr0009
>>>>>
>>>>> -anovaplot- is described on p.458. I add this comment, which is
>>>>> relevant
>>>>> to Diego's question:
>>>>>
>>>>> "It is curious that analysis-of-variance people typically draw
>>>>> interaction plots but suppress the data, whereas regression people
>>>>> prefer to draw scatterplots showing both observed and fitted
>>>>> values.
>>>>> Admittedly, a complicated set of crossing lines showing
>>>>> interactions
>>>>> may
>>>>> seem to leave little scope for showing data effectively, while a
>>>>> relatively
>>>>> simple regression leaves plenty of scope, but the difference is
>>>>> nevertheless intriguing."
>>>>>
>>>>> I still treasure a comment made by a senior Stata user, who might
>>>>> not
>>>>> want to be named for this, to the effect that showing the data on
>>>>> the
>>>>> graph typically confuses the issue.
>>>>>
>>>>> Nevertheless I'll think about adding a -nodata- option, possibly
>>>>> with a
>>>>> sting in the tail. (For example, it might -drop- all your data, or
>>>>> some
>>>>> such.)
>
>>>>> Thomas Steichen
>>>>> ===============
>>>>>
>>>>> Although you have suppressed printing a symbol for the data points
>>>>> via
>>>>> -scatter(msym(none))-, Stata still allows room for that invisible
>>>>> data
>>>>> in its y-axis range. Therefore you cannot reduce the range given
>>>>> the
>>>>> way
>>>>> the code is written. Editing the code to allow what you want is
>>>>> pretty
>>>>> straightforward.
>>>>>
>>>>> Change line:
>>>>> numlist "2/`= 1 + `: word count `fits'''"
>>>>> To:
>>>>> numlist "1/`= 1 + `: word count `fits'''"
>>>>>
>>>>> And line:
>>>>> twoway scatter `y' `x1' if e(sample), `scatter' ///
>>>>> To:
>>>>> twoway `scatter' ///
>>>>>
>>>>> Then edit line:
>>>>> program anovaplot, sort
>>>>> To:
>>>>> program anovaplot0, sort
>>>>>
>>>>> Save it with new name anovaplot0.ado and invoke it with command
>>>>> -anovaplot0-
>>>>>
>>>>> Nick Cox's original will keep working and you'll have this one for
>>>>> your
>>>>> purpose.
>>>>>
>>>>> Of course, you could get fancy and add a -nodata- option that
>>>>> allows
>>>>> both forms in a single program.
>>>>>
>>>>> Diego Bellavia
>>>>> ==============
>>>>>
>>>>> I am trying to plot an ANOVA for repeated measures model using the
>>>>> amazing anovaplot command.
>>>>> Everything works fine except the yscale range. I need to reduce
>>>>> the
>>>>> range and increase the scale
>>>>> to make differences clear. So I tried:
>>>>>
>>>>> anovaplot level groups, scatter(msym(none)) yscale (range(-12
>>>>> -24))
>>>>> ylabel(-12 (2) -24)
>>>>>
>>>>> The problem is that I actually reduced the numbered range and the
>>>>> labelling but now almost half of the graph
>>>>> is empty. Is there any way to change the range so that I can take
>>>>> advantage of all the graph extension ?
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