Apologies for pursuing this increasingly off-topic thread, but I've just remembered that 'my' mode is not so hard to compute. Suppose a one-dimensional data set is in general position (all gaps unequal), find the smallest gap, then choose whichever endpoint has the closest neighbour. That's the mode.
At 16:39 12/12/2003 +1300, Murray Jorgensen wrote: >Opps! This is what I should have written: > >The mode of a data vector x might be defined as the limit of m_p as p >tends to zero from above and where m_p is the m minimizing >sum(abs(x - m)^p). I would not expect the mode so defined to be of much >use in data analysis, nor would it be easy to compute. > >Murray > >[Thanks to Duncan Murdoch for noticing the missing ^p .] > >Douglas Bates wrote: > >> "Christian Mora" <[EMAIL PROTECTED]> writes: >> >> >>>How can I get the mode (most frequent value) from a dataset (continuos >>>variables)? I can obtain it when the data is discrete (by making a table >>>and looking at the higher frequency) but I don't know how obtain it >>>from, for example, a density plot of the data. Does anyone know how to >>>do it? Thanks >> >> >> I don't think the mode of a sample from a continuous random variable is well >> defined. >> >> ______________________________________________ >> [EMAIL PROTECTED] mailing list >> https://www.stat.math.ethz.ch/mailman/listinfo/r-help >> >> > >-- >Dr Murray Jorgensen http://www.stats.waikato.ac.nz/Staff/maj.html >Department of Statistics, University of Waikato, Hamilton, New Zealand >Email: [EMAIL PROTECTED] Fax 7 838 4155 >Phone +64 7 838 4773 wk +64 7 849 6486 home Mobile 021 1395 862 > >______________________________________________ >[EMAIL PROTECTED] mailing list >https://www.stat.math.ethz.ch/mailman/listinfo/r-help > Dr Murray Jorgensen http://www.stats.waikato.ac.nz/Staff/maj.html Department of Statistics, University of Waikato, Hamilton, New Zealand Email: [EMAIL PROTECTED] Fax 7 838 4155 Phone +64 7 838 4773 wk +64 7 849 6486 home Mobile 021 1395 862 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
