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sum (timeseries) - Sum of `timeseries` data

Syntax

ts_sm = sum(ts) ts_sm = sum(ts,'PropertyName1',PropertyValue1,...)

Description

ts_sm = sum(ts) returns the sum of the time-series data. When ts.Data is a vector, ts_sm is the sum of ts.Data values. When ts.Data is a matrix, ts_sm is a row vector containing the sum of each column of ts.Data (when IsTimeFirst is true and the first dimension of ts is aligned with time). For the N-dimensional ts.Data array, sum always operates along the first nonsingleton dimension of ts.Data.

ts_sm = sum(ts,'PropertyName1',PropertyValue1,...) specifies the following optional input arguments:

'MissingData' property has two possible values, 'remove' (default) or 'interpolate', indicating how to treat missing data during the calculation.
'Quality' values are specified by a vector of integers, indicating which quality codes represent missing samples (for vector data) or missing observations (for data arrays with two or more dimensions).
'Weighting' property has two possible values, 'none' (default) or 'time'.
When you specify 'time', larger time values correspond to larger weights.

Examples

Load a 24-by-3 data array.
```
load count.dat
```

Create a timeseries object with 24 time values.

count_ts = timeseries(count,1:24,'Name','CountPerSecond')

Calculate the sum of each data column for this timeseries object.
```
sum(count_ts)

ans =

         768        1117        1574
```

The sum is calculated independently for each data column in the timeseries object.

sum (timeseries) - Sum of `timeseries` data

Syntax

Description

Examples

See Also

Recommended Products

sum (timeseries) - Sum of timeseries data

Syntax

Description

Examples

See Also

Recommended Products

sum (timeseries) - Sum of `timeseries` data