Rank: 368 based on 179 downloads (last 30 days) and 12 files submitted
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Files Posted by Jeff View all
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(last 30 days)
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23 Jul 2011 Screenshot Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey mann, kendall, mannkendall, taub, tau b, trend test 42 25
  • 4.5
4.5 | 16 ratings
25 Feb 2011 Summarizes data using a sliding window without loops This function is extremely fast calculating a sum, mean, etc, using no loops. Author: Jeff Burkey moving average, sliding window 26 10
02 Dec 2009 Screenshot Log-Pearson Flood Flow Frequency using USGS 17B This function will calculate flood flow frequencies using published guidelines by the USGS. Author: Jeff Burkey statistics, probability, logpearson, annual extremes, frequency, flood 20 6
27 Oct 2009 Screenshot LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced) LOWESS, a robust regression like LOWESS allows detecton of a trend otherwise with too much variance Author: Jeff Burkey weighted regression, robust regression, regression, line fit, bisquare, statistics 47 3
  • 5.0
5.0 | 4 ratings
14 Oct 2009 Aggregate data using any number of multiple columns Using two of Matlabs functions, unique and accumarray, this function summarizes any number of cols. Author: Jeff Burkey aggregate, aggregate function, statistics, accumarray, unique 6 1
Comments and Ratings by Jeff View all
Updated File Comments Rating
23 Jul 2011 Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey

Arvind,
I'm guessing you're using an older version of matlab that does not accept the tilda '~'. Try replacing them with a variable.
- Jeff

18 Oct 2010 Summarizes data using a sliding window without loops This function is extremely fast calculating a sum, mean, etc, using no loops. Author: Jeff Burkey

Well, I swear when I typed in conv I got an undefined function, but I do it again and it's there. Magic!! Thanks John.

Interestingly, when I type conv in the help search, it doesn't come up but a whole bunch of convert 's nothing convolution which lead to conv. Once I found conv in the help it shows up now.

18 Oct 2010 Summarizes data using a sliding window without loops This function is extremely fast calculating a sum, mean, etc, using no loops. Author: Jeff Burkey

Thanks Cris. I've never even heard of conv before. Going online at mathworks, it's not redialy apparant what toolbox that function is in...maybe Signal Processing? I can find the function documentation but I can't tell what toolbox it's in. Thus, while I would like to use your solution, it's not available to me. I only have Statistical Toolbox and conv is not in that toolbox. At least I still have some utility to people with conv! Thanks for the input. I'm sure these dialogues are very helpful for all interested.

15 Oct 2010 Summarizes data using a sliding window without loops This function is extremely fast calculating a sum, mean, etc, using no loops. Author: Jeff Burkey

Lous,

Anything is possible. :) Assuming the image is BW it seems conceptually doable. Are you wanting to summarize in a particular direction or a rectangle/square? Either way, I would think that to summarize your 2D, you would process it in 3D. The third deminsion would give you the window in 2D space. Like in this function the second dimension gives the window in 1D space. However, you'll have an edge effect that will reduce your image N pixels in both directions. I'm not sure if that would work for you. If you need the full image after the processing, you'll have to come up with a scheme to allow for a shrinking window or reflect back as it goes over the edge. I hope this makes sense. I don't really do much image processing except in ArcGIS, which has those types of tools/functions. Which makes me think that MATLAB image processing toolbox may have something like this already?

15 Oct 2010 Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey

Jorge,
Sorry it took me so long to respond. I just saw this. In Mann-Kendall (ktaub), missing data versus not will make a difference, and the calculations account for missing data. However, for seasonal kendall (sktt), missing data are filled in with mid-ranks. So to answer your question, missing data versus not will make a difference, but missing data will not invalidate your results, unless you have a lot of missing data, but that's a different story then.

Comments and Ratings on Jeff's Files View all
Updated File Comment by Comments Rating
15 Dec 2011 Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey Antoniya

Thanks Jeff! I find this function quite useful.

07 Sep 2011 Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey Dyke, Jonathan

Hi.. How might I expand this routine to incorporate a multivariate regression fit? i.e. 5 columns in X...

Thanks,
  Jon

23 Jul 2011 Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey Burkey, Jeff

Arvind,
I'm guessing you're using an older version of matlab that does not accept the tilda '~'. Try replacing them with a variable.
- Jeff

21 Jul 2011 Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey Iyer, Arvind

The version of the code (ktaub.m) downloaded on July 20 2011, gives a parse error for the following lines.
[~,b] = unique(ro1);
[~,e] = unique(ro2);
How can this parse error be fixed?

16 Jun 2011 Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey nguyen, quang
Top Tags Applied by Jeff
statistics, hydrology, probability, mannkendall, trends
Files Tagged by Jeff View all
Updated   File Tags Downloads
(last 30 days)
Comments Rating
23 Jul 2011 Screenshot Mann-Kendall Tau-b with Sen's Method (enhanced) A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique Author: Jeff Burkey mann, kendall, mannkendall, taub, tau b, trend test 42 25
  • 4.5
4.5 | 16 ratings
25 Feb 2011 Summarizes data using a sliding window without loops This function is extremely fast calculating a sum, mean, etc, using no loops. Author: Jeff Burkey moving average, sliding window 26 10
02 Dec 2009 Screenshot Log-Pearson Flood Flow Frequency using USGS 17B This function will calculate flood flow frequencies using published guidelines by the USGS. Author: Jeff Burkey statistics, probability, logpearson, annual extremes, frequency, flood 20 6
27 Oct 2009 Screenshot LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced) LOWESS, a robust regression like LOWESS allows detecton of a trend otherwise with too much variance Author: Jeff Burkey weighted regression, robust regression, regression, line fit, bisquare, statistics 47 3
  • 5.0
5.0 | 4 ratings
14 Oct 2009 Aggregate data using any number of multiple columns Using two of Matlabs functions, unique and accumarray, this function summarizes any number of cols. Author: Jeff Burkey aggregate, aggregate function, statistics, accumarray, unique 6 1

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