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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Thanks,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">With respect to the scatter plots: Take a look at WhereXY() before you code up the same idea. <smiles> It isn’t possible to make this function part of the VI()
as we can’t get a scatter plot to have a defined class like is done for histograms etc.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Some discussions have already taken place on sonification. If you’re interested in this idea, you might find another person on this list would appreciate the
interaction, and might contact you off-list. We’ve tired the sonification of a histogram but it’s not easy to work with. I think it is more likely to succeed on a density curve.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Thanks for the link. I’ll take a peek.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Cheers,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Jonathan<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif";color:windowtext">From:</span></b><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif";color:windowtext"> BlindRUG [mailto:blindrug-bounces@nfbnet.org]
<b>On Behalf Of </b>Gjalt-Jorn Peters via BlindRUG<br>
<b>Sent:</b> Thursday, 30 July 2015 9:15 p.m.<br>
<b>To:</b> Blind R Users Group<br>
<b>Cc:</b> Gjalt-Jorn Peters<br>
<b>Subject:</b> Re: [BlindRUG] Measures of modality: understanding distribution shapes<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Dear Jonathan,<br>
<br>
Thank you for your swift reply! VI sounds great - I had encountered BrailleR, but I'd missed this. It seems amazing, thank you!<br>
<br>
It doesn't provide one convenient number, but it does enable blind people to explore their data in a similar way to 'sighted' (?) people. This is great!<br>
<br>
Maybe I'll have time to write a method for scatterplots, e.g. generating an X by X grid and describing the number of datapoints in each grid cell in a table form? That would be faster without doing it from a scatterplot, I guess. Anyway, if I get around to
it, I'll send it around to the list!<br>
<br>
The sonification option also seems very interesting! Apparently, packages exist to let R produce sounds . . . This seems promising:
<a href="http://www.inside-r.org/packages/cran/sound/docs/play">http://www.inside-r.org/packages/cran/sound/docs/play</a> - maybe also worth exploring later on :-)<br>
<br>
Again, thank you very much, kind regards,<br>
<br>
Gjalt-Jorn<o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:9.0pt;font-family:"Trebuchet MS","sans-serif"">Gjalt-Jorn Peters</span></b><span style="font-size:9.0pt;font-family:"Trebuchet MS","sans-serif"">
</span><span style="font-size:9.0pt;font-family:"Trebuchet MS","sans-serif";color:#999999">|
<a href="http://behaviorchange.eu">http://behaviorchange.eu</a><br>
<br>
Behavior change research | Health psychology <br>
Intervention development | Applied social psychology </span><span style="font-size:9.0pt;font-family:"Trebuchet MS","sans-serif""><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:1.0pt;color:white"><a href="http://greatergood.eu"><span style="text-decoration:none"><img border="0" width="46" height="45" id="_x0000_i1025" src="cid:image001.png@01D0CB0D.E1C371C0" alt="GG"></span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:1.0pt;color:white"><img border="0" width="10" height="1" id="_x0000_i1026" src="cid:image003.png@01D0CB0D.E1C371C0"><a href="http://ou.nl"><span style="text-decoration:none"><img border="0" width="24" height="45" id="_x0000_i1027" src="cid:image004.png@01D0CB0D.E1C371C0" alt="OU"></span></a><img border="0" width="10" height="1" id="_x0000_i1028" src="cid:image003.png@01D0CB0D.E1C371C0"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:1.0pt;color:white"><a href="http://maastrichtuniversity.nl"><span style="text-decoration:none"><img border="0" width="33" height="45" id="_x0000_i1029" src="cid:image005.png@01D0CB0D.E1C371C0" alt="UM"></span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:52.5pt;font-family:"Courier New";color:#999999">}<o:p></o:p></span></p>
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<p class="MsoNormal">On 2015-07-30 9:57, Godfrey, Jonathan via BlindRUG wrote:<o:p></o:p></p>
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<pre>Hi,<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>This is a great question.<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>Personally, I would be hoping the sample size is sufficient to allow me to increase the number of bins in a histogram to convince myself that the presence of bimodality is real. I can get the information from the VI() command on the histogram creation command. For example:<o:p></o:p></pre>
<pre>VI(hist(x))<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>I'm still trying to find a way of conveying a density curve to a blind audience. It's very easy to follow a tactile representation of a density, but conversion to text is proving challenging. I suspect this is one situation where sonification of the curve might also prove to be an answer.<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>Cheers,<o:p></o:p></pre>
<pre>Jonathan<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre><o:p> </o:p></pre>
<pre><o:p> </o:p></pre>
<pre>-----Original Message-----<o:p></o:p></pre>
<pre>From: BlindRUG [<a href="mailto:blindrug-bounces@nfbnet.org">mailto:blindrug-bounces@nfbnet.org</a>] On Behalf Of Gjalt-Jorn Peters via BlindRUG<o:p></o:p></pre>
<pre>Sent: Thursday, 30 July 2015 6:29 p.m.<o:p></o:p></pre>
<pre>To: <a href="mailto:BlindRUG@nfbnet.org">BlindRUG@nfbnet.org</a><o:p></o:p></pre>
<pre>Cc: Gjalt-Jorn Peters<o:p></o:p></pre>
<pre>Subject: [BlindRUG] Measures of modality: understanding distribution shapes<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>Dear BlindRUG readers,<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>I'm working on revising our first statistics course (in a psychology curriculum). We're updating it such that R can be used, to make it accessible to blind students.<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>I'm currently trying to figure out how to let blind students assess distribution 'shapes'. They can compute skewness and kurtosis, but it's also necessary to assess modality (how many 'mountains' there are). Is any of you familiar with any measures for this?<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>How do you normally assess the 'shape' of a distribution?<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>Thank you very much in advance, kind regards,<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>Gjalt-Jorn Peters<o:p></o:p></pre>
<pre>Dutch Open University<o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>_______________________________________________<o:p></o:p></pre>
<pre>BlindRUG mailing list<o:p></o:p></pre>
<pre><a href="mailto:BlindRUG@nfbnet.org">BlindRUG@nfbnet.org</a><o:p></o:p></pre>
<pre><a href="http://nfbnet.org/mailman/listinfo/blindrug_nfbnet.org">http://nfbnet.org/mailman/listinfo/blindrug_nfbnet.org</a><o:p></o:p></pre>
<pre>To unsubscribe, change your list options or get your account info for BlindRUG:<o:p></o:p></pre>
<pre><a href="http://nfbnet.org/mailman/options/blindrug_nfbnet.org/gjalt-jorn%40behaviorchange.eu">http://nfbnet.org/mailman/options/blindrug_nfbnet.org/gjalt-jorn%40behaviorchange.eu</a><o:p></o:p></pre>
<pre>The list archive can be viewed at:<o:p></o:p></pre>
<pre><a href="http://www.nfbnet.org/pipermail/blindrug_nfbnet.org">http://www.nfbnet.org/pipermail/blindrug_nfbnet.org</a><o:p></o:p></pre>
<pre>More information and useful links about using R as a blind person can be obtained at:<o:p></o:p></pre>
<pre><a href="http://R-Resources.massey.ac.nz">http://R-Resources.massey.ac.nz</a><o:p></o:p></pre>
<pre><o:p> </o:p></pre>
<pre>Look for help using R commands by reading the accessible e-book "Let's Use R Now" compiled by Jonathan Godfrey at:<o:p></o:p></pre>
<pre><a href="http://R-Resources.massey.ac.nz/lurn/front.html">http://R-Resources.massey.ac.nz/lurn/front.html</a><o:p></o:p></pre>
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