SMath vs Mathcad - Сообщения
#1 Опубликовано: 06.08.2024 11:32:14
I can solve this problem in Mathcad - see pls the picture.
But cannot in SMath - see the SMath-file :-(
Help please
6-1-Mister-Class-a-b-c.sm
But cannot in SMath - see the SMath-file :-(
Help please
6-1-Mister-Class-a-b-c.sm
#2 Опубликовано: 06.08.2024 13:22:51
Hi. Try this function, from Viacheslav ALGLIB plugin.
Best regards.
Alvaro.
Best regards.
Alvaro.
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Valery Ochkov 06.08.2024 14:30:00
#3 Опубликовано: 06.08.2024 14:34:07
Thanks and sorry!
I do not see in your solution derivatives!
???
I do not see in your solution derivatives!
???
#4 Опубликовано: 06.08.2024 18:36:47
Here is a version with Maxima Fit(). Note that Fit() uses a least squares procedure, whereas Mathcad obviously directly minimizes the average linear distance between data points and model.
Ordinary linear regression with slope and intersect is a least squares fit for the vertical distance.
6-1-Mister-Class-a-b-c_kr.sm
![2024-08-06 13_32_52-SMath Solver - [6-1-Mister-Class-a-b-c_kr.sm_].png](/ru-RU/file/gqc7pn/2024-08-06-13_32_52-SMath-Solver---_6-1-Mister-Class-a-b-c_kr_sm___png)
Ordinary linear regression with slope and intersect is a least squares fit for the vertical distance.
6-1-Mister-Class-a-b-c_kr.sm
Martin Kraska
Pre-configured portable distribution of SMath Studio: https://en.smath.info/wiki/SMath%20with%20Plugins.ashx
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Valery Ochkov 06.08.2024 18:53:00
#5 Опубликовано: 06.08.2024 19:22:00
Is there in SMath or Maxima the median-median regression
#6 Опубликовано: 06.08.2024 22:02:42
#7 Опубликовано: 07.08.2024 00:29:39
Interesting paper. Yet the authors keep one question out of scope: In case of orthogonal distance minimizing (be it linear or quadratic), rescaling of the data matter. (other than with ordinary linear regression). This means that you get different results if you provide your data not in cm but in mm.
Perhaps the data should be scaled such that the uncertainty (measurement error) is of similar numeric value for x and y.
Perhaps the data should be scaled such that the uncertainty (measurement error) is of similar numeric value for x and y.
Martin Kraska
Pre-configured portable distribution of SMath Studio: https://en.smath.info/wiki/SMath%20with%20Plugins.ashx
#8 Опубликовано: 07.08.2024 02:01:47
See please three plots
#9 Опубликовано: 07.08.2024 02:12:28
See please more
#10 Опубликовано: 07.08.2024 15:24:46
See please three plots
The perpendicular distance is only geometrically perpendicular in the graph if the axes tick ratio is 1 (as I tried to set in my earlier post) unless you introduce an anisotropic metric for the distance (or standardize the quantities).
Martin Kraska
Pre-configured portable distribution of SMath Studio: https://en.smath.info/wiki/SMath%20with%20Plugins.ashx
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