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<p class="MsoNormal">Hi all,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Apologies for the cross-posting.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Some of you may be aware of the sonification R package, which can be used to create soundscapes of data. The package was primarily written by a friend and former colleague of mine, Stefan Siegert, with some input from me. Stefan and I are
planning to publish an update to the package, hopefully alongside a paper regarding accessibility in the R Journal.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">I'm reaching out to ask for any ideas the community may have for things they would like to see added to the package. Here are two items I am hoping to add, but other suggestions would be very welcome.<o:p></o:p></p>
<p class="MsoNormal">1. Include a ‘audioloess’ wrapper function which I use regularly. I use this function to produce Loess fits to x-y scatter data, and then call the sonify package to sonify the output. This is currently my primary use of the package.<o:p></o:p></p>
<p class="MsoNormal">2. Add functionality to communicate a measure of noise, or spread, of x-y scatter data. A Loess curve only enables me to understand the shape of the Loess fit, but getting a handle on the spread of points in different regions of the x axis
is more difficult. The current idea is to overlay white noise on the soundscape, estimate the size of a confidence interval using quantile regression, and then map the volume of the white noise to the size of the confidence interval.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Please reach out to me either on or off list with any ideas you may have, big or small.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">With best wishes,<o:p></o:p></p>
<p class="MsoNormal">Robin<o:p></o:p></p>
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