# mstdp

Syntax

mstdp(X, window, [minPeriods])

Please see Moving Functions (m-functions) for the parameters and windowing logic.

Details

Calculate the population standard deviation of X in a sliding window.

Examples

```\$ mstdp(1 2 5 4 3, 3);
[,,1.699673171197595,1.247219128924647,0.816496580927726]

\$ mstdp(1 2 5 4 3, 3, 2);
[,0.5,1.699673171197595,1.247219128924647,0.816496580927726]

\$ m=matrix(1 6 2 9 4 5, 11 12 18 23 21 10);
\$ m;
```

#0

#1

1

11

6

12

2

18

9

23

4

21

5

10

```\$ mstdp(m,3);
```

#0

#1

2.160246899469287

3.091206165165233

2.867441755680875

4.496912521077346

2.943920288775949

2.054804667656331

2.160246899469287

5.715476066494082

```\$ m=matrix(1 NULL 4 NULL 8 6 , 9 NULL NULL 10 NULL 2)
\$ m.rename!(date(2020.04.06)+1..6, `col1`col2)
\$ m.setIndexedMatrix!()
\$ mstdp(m,4d)
```

label

col1

col2

2020.04.07

0

0

2020.04.08

0

0

2020.04.09

1.5

0

2020.04.10

1.5

0.5

2020.04.11

2

0

2020.04.12

1.633

4

```\$ mstdp(m,1w)
```

label

col1

col2

2020.04.07

0

0

2020.04.08

0

0

2020.04.09

1.5

0

2020.04.10

1.5

0.5

2020.04.11

2.8674

0.5

2020.04.12

2.586

3.559

Related function: mstd