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the mathematical functions available in the formula editor https://modeler-forum.com/viewtopic.php?f=17&t=59 |
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Author: | Kai [ Tue 23. Nov 2010, 10:22 ] |
Post subject: | the mathematical functions available in the formula editor |
Here we are presenting further explanations together with some examples of the use of the formulas. You may use the search-functionality of the forum to find them, e.g. looking for if(), min() etc.. Please do also add your examples and explanations of the formula as some of them are just of use for very specific challenges that Consideo itself has no experience with. |
Author: | Kai [ Tue 23. Nov 2010, 10:25 ] | ||
Post subject: | abs() formula | ||
abs() calculates the absolute value of something to -6 becomes 6, -3 becomes 3 etc...
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Author: | Kai [ Tue 23. Nov 2010, 10:27 ] | ||
Post subject: | acc() formula | ||
acc() does the same a level factor does. It summarizes values of e.g. a connected factor over time
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Author: | Kai [ Tue 23. Nov 2010, 10:30 ] | ||
Post subject: | and() formula | ||
and allows to extend conditions in an if() formula
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Author: | Kai [ Tue 23. Nov 2010, 10:38 ] | ||
Post subject: | average() formula | ||
average() allows to calculate a recent trend of a series of values. In the example file it is the average of the last three values. Please note that the average for the first two results includes one or two values of zero ... ... For an overall average see midvalue()
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Author: | Kai [ Mon 29. Nov 2010, 14:22 ] | ||
Post subject: | averageE() and averageW() formula | ||
The averageE() and the averageW() formula both smooth a series of values... best shown by example
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Author: | Kai [ Mon 29. Nov 2010, 14:36 ] | ||
Post subject: | date() formula | ||
The date() formula allows to make calculations depended from a date, like shown in the example....
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Author: | Kai [ Mon 29. Nov 2010, 15:04 ] | ||||
Post subject: | smooth1() smooth3() delay1() and delay() functions | ||||
The smooth1() smooth3() delay1() and delay() functions are all for certain, nonlinear delays that result in a sort of smoothing on values. Their benefits are best described with the example and the pdf-papers attached ....
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Author: | Kai [ Mon 29. Nov 2010, 15:34 ] | ||
Post subject: | gauss() formula | ||
The gauss() formula transforms a linear input-series to a gauss-shaped input-series. In practical terms that is probably needed for only a few, rather static calculations. For a real distribution of likelihoods you should refer to the description of the Monte-Carlo-simulation in our manual that comes with the MODELER.
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Author: | Kai [ Mon 29. Nov 2010, 16:16 ] | ||
Post subject: | modulo() formula | ||
the modulo() formula returns the residue of a division .... like shown in the example
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