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Functions
- #@
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- ${macroExp}
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- A()
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- E()
- E()
- elapse()
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- end s
- enum()
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- es_close()
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- gcd()
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- goto C
- group()
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- norm()
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- o()
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- ones()
- open()
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- p()
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- pi()
- pivot()
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- polyfit()
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- proc()
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- pseudo()
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- r.(x,...)
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- sap_client()
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- savepoint()
- sbs()
- se()
- second()
- segp()
- select()
- seq()
- sert()
- setenum()
- sf_close()
- sf_open()
- sf_query()
- sf_wsdlclose()
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- sg()
- shift()
- sign()
- sin()
- sinh()
- size()
- skew()
- skip()
- sleep()
- smooth()
- sort()
- sortx()
- spark_open()
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- spearman()
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- split()
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- sqlparse()
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- sqrt()
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- string()
- structure
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- svm()
- swap()
- switch()
- syncfile(hs,p)
- system()
- T()
- tarcorskew()
- tan()
- tanh()
- time()
- tinv()
- to()
- top()
- total()
- transpose()
- trim()
- true
- try
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- typeof(x)
- union()
- update()
- upper()
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- v()
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- var(V)
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sg()
Description:
Perform SG smoothing on each row of a vector or a matrix.
Syntax:
sg(A,n,m,d)
Note:
The external library function (See External Library Guide) performs SG smoothing on each row of vector A or matrix A. The computation gets a number of (m) data points and handles SG smoothing using the nth order curve, during which the number of differentiations is d; will not calculating derivatives when parameter d is absent.
The function returns smoothing result when parameter A has parameters and the smoothing coefficient if A is null.
Parameter:
|
A |
A vector or a matrix |
|
n |
Degree of a polynomial that satisfies n<m-1 |
|
m |
A set of data points, which is an odd number greater than 1 and will automatically plus 1 if it isn’t an odd number |
|
d |
The nth order derivative, which satisfies d<n |
Return value:
A sequence
Example:
|
|
A |
|
|
1 |
[1,4,9,26,30,64,80,99] |
|
|
2 |
=sg(,2,5) |
Return a matrix whose smoothing coefficient is calculated based on 5 points and 2rd order curve. |
|
3 |
=sg(A1,2,5) |
Perform SG smoothing on A1 based on 5 points and 2rd order curve and return smoothing result. |
|
4 |
=sg(A1,2,5,1) |
Perform SG smoothing on A1 based on 5 points and 2rd order curve with one differentiation. |
