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Comments and Ratings
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| Date | File | Comment by | Comment | Rating |
| 25 Aug 2009 | 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 | Burkey, Jeff | Units for Sen's slope are what ever units you feed into it per time increment you feed into it. Example: cfs/year. |
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| 05 Aug 2009 | 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 | Burkey, Jeff | You shouldn’t need to modify the function to not input the “xdata”. If you don’t input it, the function will perform just not that task. If that is the case, don’t specify the “xy” as part of your output either. The “dataout” variable contains the predicted y for each x- value supplied in the “datain” variable. The “xdata” is if you want a different set of y-predictions using the lowess function for other x-data not provided in the “datain” variable. I don’t remember if the function I posted sorts or not, but if you are wanting to regress as a function of time, you may not want to sort. I hope this helps. - Jeff |
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| 01 Jun 2009 | Equinoxes and Solstices compute the dates of equinoxes and solstices | Burkey, Jeff | Great function! While the level of accuracy does not affect my needs, you may want to let others know if they are in need to to the minute or second, may want to validate the results. Comparing this functions results to the US Naval Observatory, the results differ by approximately 1-minute. I'm guessing this is an artifact of matlab and complier precision. Anything dealing with astronomy and floating point precision becomes significant. |
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| 19 Feb 2009 | 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 | Burkey, Jeff | I've included a MAT file with example data to run the function. I hope this helps. I also added an example dataset file for ktaub, sktt, b17, globaltrends functions as well. |
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| 19 Feb 2009 | Homogeneity test of Global Trends using Chi-Square on Mann-Kendall Test for homogeneity of trends in different seasons-stations,and global trends using Chi-Square. | Burkey, Jeff | I've included a MAT file with example data to run the function. I hope this helps. |
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| 19 Feb 2009 | Seasonal Kendall Test with Slope for Serial Dependent Data Seasonal trends using tau-a,b and seasonal slope with intervals, accounts for serial dependence. | Burkey, Jeff | I've included a MAT file with example data to run the function. I hope this helps. |
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| 19 Feb 2009 | Log-Pearson Flood Flow Frequency using USGS 17B This function will calculate flood flow frequencies using published guidelines by the USGS. | Burkey, Jeff | I've updated the zip file to include an example mat file (ex1) and forgo the need for people to extract out a sample dataset from the example.mat file. I hope this helps, and expedite any need to fix a problem should it arise. |
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| 18 Feb 2009 | Log-Pearson Flood Flow Frequency using USGS 17B This function will calculate flood flow frequencies using published guidelines by the USGS. | Burkey, Jeff | Greg,
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| 28 Jan 2009 | Log-Pearson Flood Flow Frequency using USGS 17B This function will calculate flood flow frequencies using published guidelines by the USGS. | Burkey, Jeff | K R,
Then run the function again pointing to either: ex1, ex2, ex3, or ex4. I hope this helps. Email me directly if you need more help. Regards,
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| 14 Dec 2008 | Fibonacci The following function generate the fibinacci series up to the sequence number m. | Burkey, Jeff | Shahab, cyclonic programming is the most cpu time intensive technique (i.e. slow). I would like to make the suggestion, why not teach your students multi-dimensional techniques which is what Matlab excels at best for a platform and is orders of magnitude faster. That said, working with large datasets certainly may require loops, or at best a combination of loops and dimensional math. Plus if you go parallel processing deminsonal math would be prefered. Regards, Jeff. |
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| 02 Nov 2008 | Nash-Sutcliffe Model Accuracy Metric A metric to measure the ability of a model to predict observed values | Burkey, Jeff | Sorry about that. It's more for legacy work done in the past, and I probably should take it out. I was working on a project where we were running hundreds of variants of metrics and differentiating by name gets messy, hence using a database to track which statistic was used. - Jeff |
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