anymissing

Determine if any array element is missing

Since R2022a

Syntax

TF = anymissing(A)

Description

TF = anymissing(A) returns logical 1 (true) if at least one element of A is missing. It returns 0 (false) if no element is missing.

Missing values are defined according to the data type of A:

• NaN — double, single, duration, and calendarDuration

• NaT — datetime

• <missing> — string

• <undefined> — categorical

• {''} — cell of character vectors

If A is a table, then the data type of each variable defines the missing value for that variable.

For data types with no default definition of a standard missing value, anymissing returns logical 0 (false).

Examples

Vector with NaN Values

Create a row vector A of type double. Determine if at least one element of A is missing, that is, if A contains at least one NaN value.

A = [3.14 NaN -2.718 1.414 0.5];
TF = anymissing(A)

TF = logical
   1

Missing Values in Table with Various Data Types

Create a table with variables of different data types.

dblVar = [1; 2; 3; 4; 5; 6];
singleVar = single([1; 2; 3; 4; 5; 6]);
cellstrVar = {'one'; 'two'; ''; 'four'; 'five'; 'six'};
categoryVar = categorical({'red'; 'orange'; 'yellow'; ''; 'blue'; 'indigo'});
dateVar = [datetime(2015,1:6,15)]';
stringVar = ["a"; "b"; "c"; "d"; "e"; "f"];

A = table(dblVar,singleVar,cellstrVar,categoryVar,dateVar,stringVar)

A=6×6 table
    dblVar    singleVar    cellstrVar    categoryVar      dateVar      stringVar
    ______    _________    __________    ___________    ___________    _________

      1           1        {'one'   }    red            15-Jan-2015       "a"   
      2           2        {'two'   }    orange         15-Feb-2015       "b"   
      3           3        {0×0 char}    yellow         15-Mar-2015       "c"   
      4           4        {'four'  }    <undefined>    15-Apr-2015       "d"   
      5           5        {'five'  }    blue           15-May-2015       "e"   
      6           6        {'six'   }    indigo         15-Jun-2015       "f"   

Determine if any element of the table has a missing value.

anymissing returns logical 1 because at least one element of A is missing. Here, the third element of cellstrVar is '' and the fourth element of categoryVar is <undefined>, which are missing values.

TF = anymissing(A)

TF = logical
   1

Array with NaN Values

Create a 3-D array and determine if at least one of its elements is missing.

A(:,:,1) = [2 1; 3 5];
A(:,:,2) = [NaN 0; 0 NaN];
A(:,:,3) = [-2 9; 4 1]

A = 
A(:,:,1) =

     2     1
     3     5


A(:,:,2) =

   NaN     0
     0   NaN


A(:,:,3) =

    -2     9
     4     1

TF = anymissing(A)

TF = logical
   1

Input Arguments

A — Input data

scalar | vector | matrix | multidimensional array | cell array of character vectors | table | timetable

Input data, specified as a scalar, vector, matrix, multidimensional array, cell array of character vectors, table, or timetable.

• If A is a timetable, then anymissing operates on the table data only and ignores NaT or NaN values in the row times.

• If A is a cell array, then anymissing only detects missing elements when A is a cell array of character vectors.

Example: ["a" "b" missing "d"]

Data Types: double | single | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | char | string | cell | table | timetable | categorical | datetime | duration | calendarDuration
Complex Number Support: Yes

Tips

• For input data that is a structure array or a cell array of non-character vectors, anymissing returns false. To determine if any element of a structure array is missing, apply anymissing to each field in the structure by using the structfun function. To determine if any element of a cell array of non-character vectors is missing, apply anymissing to each cell in the cell array by using the cellfun function.

Extended Capabilities

Tall Arrays

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

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

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

The anymissing function fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

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 R2022a

R2022b: Character arrays have no standard missing value

Character arrays have no default definition of a standard missing value. Therefore, anymissing treats blank character array elements (' ') as nonmissing. For example, anymissing(['a'; ' ']) returns logical 0. Previously, it returned logical 1.