Hinweis:Dieser Abschnitt ist nur in englischer Sprache verfügbar. Wir bitten um Ihr Verständnis.
3.5.2.51 Tmovavg
Contents
Description
This function is for calculating triangular moving averages. In fact, this function equals to using function Movavg twice with
backward and 0 forward. Thus, at point = i, the triangular moving average value is:
where
and
.
Syntax
vector tmovavg(vector vd, int n[, int missing, int method])
Parameters
vd
- The data vector is used to calculate triangular moving average.
n
- is the time period.
missing
- Optional. Determine how to deal with the missing value in the moving range.
- missing = 0 omits missing values from the calculation. This is the default value.
- missing = 1 includes missing values in the calculation, which means, if an adjacent range includes missing its output will be missing;
- missing = 2 omits missing values from the calculation but keeps missing in the ouput, which means, if a row is missing, its output will be missing.
- Please refer to example 2 to see the difference.
method(2025b)
- Optional. Determine which method to use.
- method = 0 the fast method, old behavior.
- method = 1 the robust method sorts data in a special way then applies the sum-divide algorithm.
Return
Return the triangular moving average vector.
Example
Example 1
// Col(2) will be filled with triangular moving average value at each point, //with stating point = 9. for(ii=1;ii<=30;ii++) col(1)[ii] = ii; col(2)=tmovavg(col(1),9);
Example 2
newbook; col(A) = {4,8,6,-1,NAN,-3,-1, 3, 4, 5}; col(B) = tmovavg(col(A),3,0); //returns [-- -- 6.5 4.75 0.75 -2 -2.5 -0.5 2.25 4] col(C) = tmovavg(col(A),3,1); //returns [-- -- 6.5 4.75 -- -- -- -0.5 2.25 4] col(D) = tmovavg(col(A),3,2); //returns [-- -- 6.5 4.75 -- -3 -2.5 -0.5 2.25 4]