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Offline nasch  
#1 Posted : 11 January 2019 23:41:50(UTC)
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Prob Fitting.pdf (2,819kb) downloaded 38 time(s). Probability Fitting.sm (87kb) downloaded 17 time(s).

I've come across a mathcad2000i worksheet that I converted to prime4, the attached pdf shows the results. I've attempted to reproduce the Histogram(X) routine in SMath but can't seem to get past the "Argument must be a vector..." error. I welcome the collabs review and recommendations if this routine will work.

Thank you,
Offline Razonar  
#2 Posted : 12 January 2019 09:12:54(UTC)
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Hi. Do you have the original Mathcad2000 worksheet?
Instead of parse a variable parameter number f(x,p1,p2,p3,...) you can use just f(x,p) but with p as a vector columns. With that you don't need replicate, Vec2Vec&Size and the other similar utilities.

Best regards.
Alvaro.

Edited by user 12 January 2019 09:37:09(UTC)  | Reason: Not specified

Offline Davide Carpi  
#3 Posted : 12 January 2019 13:47:15(UTC)
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routine for X-Y plot

hist.sm (15kb) downloaded 23 time(s).

2019-01-12 12_48_16-Window.png

Edited by user 12 January 2019 14:57:18(UTC)  | Reason: fixes

If you like my plugins please consider a donation to SMath Studio; for personal contributions to me: paypal.me/dcprojects
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Offline Jean Giraud  
#4 Posted : 12 January 2019 17:30:09(UTC)
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Originally Posted by: nasch Go to Quoted Post
I've come across a mathcad2000i worksheet that I converted to prime4, the attached pdf shows the results. I've attempted to reproduce the Histogram(X) routine in SMath but can't seem to get past the "Argument must be a vector..." error. I welcome the collabs review and recommendations if this routine will work.

I think, don't understand what you are trying to do ... few points:
1. NaN what introduce by Mathsoft during design of DAEP [2003]
2. NaN is not ∞ ... rather it is based on floating point error,
a pure decoration in Smath except if related to Maple.
3. Tom G. didn't have DAEP [300 $ in 2003]. Tom did lot of work based on NaN.
From recollection, he used ^307. I tried simulate NaN in Smath not to avail.4
4. In Mathcad, there are 17 styles random, all built-in from the universal
random uniform found in most systems.
5. 'rlogis' is useful in Monte-Carlo stuff, included in the attached.
6. Also attached: how to simulate normal random from the CLT
Central Limit Theorem.
7. If you are given a data set that looks bell shape, trying to fit that is
like lottery ... Why ?
8. Data are just data, they don't collect bell shape by themselves.
Some smart have binned them. Depending upon the binning you will get
all sorts of misleading PDF.
9. Added the PW weighted histogram c/w the original application that lasted
weeks that the originator had none of "thanks or equivalent" in his vocabulary.

Cheers ... Jean

Stat Monte Carlo [rlogis].sm (75kb) downloaded 17 time(s).
Stat Random normal USER.sm (124kb) downloaded 15 time(s).
Stat Histogram PW.sm (111kb) downloaded 15 time(s).

Offline Jean Giraud  
#5 Posted : 12 January 2019 17:45:31(UTC)
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Originally Posted by: nasch Go to Quoted Post
I welcome the collabs review

... Oh ! forgot to return your original

Probability Fitting[1].sm (91kb) downloaded 14 time(s).
Offline nasch  
#6 Posted : 12 January 2019 20:20:25(UTC)
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Prob Fitting.xmcd (183kb) downloaded 8 time(s).

Thank you, David & Jean for your help and direction.

Alvaro, for your reference, attached is the worksheet, I believe by Tom Gutman.

Again, many thanks!
Offline Jean Giraud  
#7 Posted : 12 January 2019 20:30:37(UTC)
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Originally Posted by: nasch Go to Quoted Post
I believe by Tom Gutman

Yes, Tom Gutman
This demo to illustrate the CLT

Stat Histogram DEMO.sm (24kb) downloaded 11 time(s).

Offline mkraska  
#8 Posted : 13 January 2019 03:33:48(UTC)
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See Maxima docs for available functions and options

2019-01-13 01_24_47-SMath Studio 0.99.6884 - [Streuung.sm].png
Streuung.sm (46kb) downloaded 7 time(s).
streug.rar (1kb) downloaded 7 time(s).
Martin Kraska

Pre-configured portable distribution of SMath Studio: https://en.smath.info/wiki/SMath%20with%20Plugins.ashx
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Offline Jean Giraud  
#9 Posted : 14 January 2019 02:48:58(UTC)
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Originally Posted by: Jean Giraud Go to Quoted Post
This demo to illustrate the CLT

From native Smath, you can have:
1. colors at will [rich from X_Y plot], even white to imitate no bar.
2. Slightly separated, joined, slightly overlapped.
3. solid or hatched at will.

HistoBar.PNG

Stat Histogram BarColor.sm (27kb) downloaded 16 time(s).

Offline Jean Giraud  
#10 Posted : 14 January 2019 06:48:22(UTC)
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... or like this.

HistoBarGray.PNG
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