minutes

Duration in minutes

Syntax

M = minutes(X)

Description

M = minutes(X) returns an array of minutes equivalent to the values in X.

• If X is a numeric array, then M is a duration array in units of minutes.

• If X is a duration array, then M is a double array with each element equal to the number of minutes in the corresponding element of X.

The minutes function converts between duration and double values. To display a duration in units of minutes, set its Format property to 'm'.

Examples

Create Duration Array of Minutes

X = magic(4);
M = minutes(X)

M = 4x4 duration
   16 min    2 min    3 min   13 min
    5 min   11 min   10 min    8 min
    9 min    7 min    6 min   12 min
    4 min   14 min   15 min    1 min

Convert Durations to Numeric Array of Minutes

Create a duration array.

X = hours(2:10:38) + minutes(30)

X = 1x4 duration
    2.5 hr   12.5 hr   22.5 hr   32.5 hr

Convert each duration in X to a number of minutes.

M = minutes(X)

M = 1×4

         150         750        1350        1950

View the data type of M.

whos M

  Name      Size            Bytes  Class     Attributes

  M         1x4                32  double              

Input Arguments

X — Input array

numeric array | duration array | logical array

Input array, specified as a numeric array, duration array, or logical array.

Extended Capabilities

Tall Arrays

Calculate with arrays that have more rows than fit in memory.

The minutes function fully supports tall arrays. For more information, see Tall Arrays.

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

This function fully supports code generation. For more information, see Code Generation for Duration Arrays (MATLAB Coder).

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).

Version History

Introduced in R2014b