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Class: timeseries

Minimum value of timeseries data


ts_min = min(ts)
ts_min = method(ts,Name,Value)


ts_min = min(ts) returns the minimum value in the timeseries data.

ts_min = method(ts,Name,Value)uses additional options specified by one or more Name,Value pair arguments.

Input Arguments


The timeseries object for which you want the minimum data value.

Name-Value Pair Arguments

Specify optional comma-separated pairs of Name,Value arguments. Name is the argument name and Value is the corresponding value. Name must appear inside single quotes (' '). You can specify several name and value pair arguments in any order as Name1,Value1,...,NameN,ValueN.


A string specifying one of two possible values, remove or interpolate, indicating how to treat missing data during the calculation.

Default: remove


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).

Output Arguments


The minimum value of ts.Data, as follows:

  • When ts.Data is a vector, ts_min is the minimum value of ts.Data values.

  • When ts.Data is a matrix, and IsTimeFirst is true, and the first dimension of ts is aligned with time, then ts_min is a row vector containing the minimum value of each column of ts.Data.

When ts.Data is an N-dimensional array, min always operates along the first nonsingleton dimension of ts.Data.


The following example finds the minimum values in multivariate time-series data. MATLAB® finds the minimum independently for each data column in the timeseries object.

% 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');

% Find the minimum in each data column for this timeseries object:


MATLAB returns:

7     9     7

See Also

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Introduced before R2006a

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