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Log Binning of Data

[midpts Freq eFreq]=lnbin(x,B... This function take the input of a data vector x, which is to be binned;
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Log Binning of Data

by LPS

06 Apr 2010 (Updated 11 Mar 2011)

Takes in data, and then produces data for a log binned histogram

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Description

  This script takes in data, and then produces a logarithmically binned (natural log) histogram:
  [midpoints,Freq,eFreq] =logbin(data, BinNum)
  where the inputs are
  data: the input data from some experiment which will be binned
  BinNum: the number of bins used in the data reduction process.

  The outputs are:

midpoints := the centre of each log bin

Freq := the number of counts in each bin

eFreq := This calculates the original relative Poissonian error before normalisation, then calculates the new error after normalisation.

  One should note that this script is a slightly modified version of
   'logbinfromlinbin.m' which can be found here:
  http://www-personal.umich.edu/~ladamic/courses/si614w06/matlab/index.html

  Modified by LPS July, 2010.

NOTES:
This paper will be of use to some looking more deeply into the technique of using log bins in data reduction

"Sampling, log binning, fitting, and plotting durations of open and shut intervals from single channels and the effects of noise"
by McManus et al. 1987.

Acknowledgements

This file inspired Estimate Pdf Of Data Set Spanning Orders Of Magnitude.

MATLAB release

MATLAB 7.8 (R2009a)

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Everyone's Tags	bin(2), data exploration, log(2), log binning(2), mathematics, physics, statistics
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Comments and Ratings (4)
11 Mar 2011	LPS	Hi Frank, Thanks for the kind remarks. As for the error, I will look in to altering it within the near future; as well as add more to it. LPS
26 Jan 2011	Frank Gommer	Hi LPS, just tried your code and it seems that it does not work with negative values? It would be nice to add the plot function as well (similiar to hist)... Otherwise, for my work the code is a good idea! Cheers, Frank
21 Apr 2010	LPS	Please do not forget to rate this algorithm, and leave questions or suggestions for improvements to this script. Many thanks, LPS
08 Apr 2010	LPS	Thanks John, just getting used to the whole layout of the community. This paper will be of use to some looking more deeply into the technique of using log bins in data reduction "Sampling, log binning, fitting, and plotting durations of open and shut intervals from single channels and the effects of noise" by McManus et al. 1987.

Updates
06 Apr 2010	Edited info text
07 Apr 2010	Edit info content
08 Apr 2010	Fixed rounding error which created some extra unnecessary end bins. Also included another output parameter: edges; which some may find useful.
15 Jun 2010	Corrected normalisation issue; added better documentation (i.e. request help in CMD window works).
30 Jun 2010	I have included an error on the Frequency. This calculates the original relative Poissonian error before normalisation, then calculates the new error after normalisation.
15 Jul 2010	Realised the information on the usage of the file was severely out of date. This has now been updated.
18 Aug 2010	Cleaned up the script, updated the help document within the file - it should be more easily used now.
11 Mar 2011	Made a research article more apparent in the description.

Highlights from Log Binning of Data

Log Binning of Data

Highlights from
Log Binning of Data