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A Solution to HOOPS errors with SPSS v11.0.2 on 10.3 Apps
In the past, I have had the mixed blessing of using SPSS v11.0.2 for performing statistical analyses on large chunks of Psychological data. Well, now I've upgraded to Panther, and was more than a little alarmed to find that this rather pricey bit of software could no longer generate most types of charts and tables without a large string of perplexing errors from something amusingly entitled 'HOOPS.' Almost every request would result in a stream of errors, usually along the lines of:
Warning (51/2) from HOOPS routine 'Compute_Text_Extent'. If a font is scaleable, 'vspace' should be the vspace-to-Aheight ratio.
A little searching revealed that HOOPS is a set of graphics subroutines, and that these are built into SPSS rather than being OS related. Luckily, the cure is a simple one.

The problem seems to stem from a font which is installed with Mac OS X 10.3 when you opt to include fonts for additional languages (which is not enabled by default). Using the Font Book, simply disable or remove 'Euphemia UCAS' and restart SPSS. After that, all your problems will be behind you. Apart from your stats, but I can't help you there!
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A Solution to HOOPS errors with SPSS v11.0.2 on 10.3 | 7 comments | Create New Account
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A Solution to HOOPS errors with SPSS v11.0.2 on 10.3
Authored by: rgray on Mar 23, '04 09:59:58AM

I will have to try this..

I have soft-pedalled updating to 10.3.* in our lab because of issues with SPSS - with which I seem to have had a similar love/hate relationship since the punch card days.......

Thanks for this.



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Semi-related comment: R
Authored by: sinjin on Mar 23, '04 01:52:51PM
Since the subject of stats software has come up here I'll put in a plug for the open source R language. R is based on S/S-plus, is completely free and runs on OS X, but has no GUI in the sense that most of us are used to -> it has an Aqua interface but not a lot of point-n-click options, mostly command line driven.

I've used GUI stats packages for Mac over the years including SPSS, SYSTAT, SAS and now JMP and really liked most of them (especially SPSS). I only bring this up because there are so few good (and affordable) options for doing research statistics on OS X (as I found out shortly after migrating to OS X and then loosing access to the computers at my research institute).

Consider R if you like programming or want to learn some simple concepts. Also consider R for it's strongest feature: producing publication quality graphics. Furthermore, with the money you save using R you could buy all of the wonderful texts written for R, S and S-plus.

--Disclaimer: I have nothing to do with the R project other than being a user! Just thought I should share my good fortune at finding them with the Mac OS X Hints community.

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Semi-related comment: R
Authored by: vkeesari on Mar 24, '04 01:56:06PM

Thanks for the link, but where o' where is an app for Hierarchical Linear Modeling on the Mac?



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Semi-related comment: R
Authored by: torifile on Apr 26, '04 10:16:03PM

Actually, there is a gui for R. It's call RAqua. It's feature for feature comparable to the R Gui for Windows and actually works better than it in my estimation. Sure, it's not point and click simple, but it simplifies stuff like adding packages so you can get to the business of skewing numbers.... I've got to learn R so I can quit struggling with SPSS. I hate it and have for years....



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Thanks!
Authored by: yoel on Mar 23, '04 02:14:10PM

This was driving me nuts!



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A Solution to HOOPS errors with SPSS v11.0.2 on 10.3
Authored by: _merlin on Mar 23, '04 09:00:11PM

Euphemia UCAS is a badly behaved font at the best of times. It is not kerned or hinted correctly, and is built using composed glyphs, which never render correctly at publishing resolution.



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A Solution to HOOPS errors with SPSS v11.0.2 on 10.3
Authored by: torifile on Apr 26, '04 10:18:54PM

Thank goodness you posted this! I've got to analyze my dissertation data and I was dreading having to click "ok" 50 times per graph (yes, I counted). Now, on to analyzing!



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