mavg
Syntax
mavg(X, window|weights, [minPeriods])
Please see mFunctions for the parameters and windowing logic.
Details
If X is a vector, return a vector of the same length as X. If the
second parameter is:
-
window: Calculate the moving averages of X in a sliding window of length window.
-
weights: Calculate the moving weighted averages of X in a sliding window of length weights (which is the weight vector). Return NULL for the first (size(weights) - 1) elements. The parameter minPeriods doesn't take effect.
If X is a matrix/table, conduct the aforementioned calculation within each column of X. The result is a matrix with the same shape as X.
Examples
X = 7 4 6 0 -5 32 9 8;
Y = 7 4 6 NULL -5 32 9 8;
weight = 2 3 5
mavg(X, 4);
// output
[,,,4.25,1.25,8.25,9,11]
mavg(Y, 4);
// output
[,,,5.67,1.67,11,12,11]
mavg(Y, weight);
// output
[,,5.6,5.2,-1.8571,18.125,13.1,13.1]
m=matrix(1 NULL 4 NULL 8 6 , 9 NULL NULL 10 NULL 2)
m.rename!(2020.01.06 2020.01.07 2020.01.09 2020.01.11 2020.01.12 2020.01.15, `col1`col2)
m.setIndexedMatrix!()
mavg(m, 3d) // equivalent to msum(m, 3)
label | col1 | col2 |
---|---|---|
2020.01.06 | 1 | 9 |
2020.01.07 | 1 | 9 |
2020.01.09 | 4 | |
2020.01.11 | 4 | 10 |
2020.01.12 | 8 | 10 |
2020.01.15 | 6 | 2 |
mavg(m, 1w)
label | col1 | col2 |
---|---|---|
2020.01.06 | 1 | 9 |
2020.01.07 | 1 | 9 |
2020.01.09 | 2.5 | 9 |
2020.01.11 | 2.5 | 9.5 |
2020.01.12 | 4.3333 | 9.5 |
2020.01.15 | 6 | 6 |
Related functions: avg