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Most frequent values in array

`M = mode(A)`

`M = mode(A,'all')`

`M = mode(A,dim)`

`M = mode(A,vecdim)`

```
[M,F] =
mode(___)
```

```
[M,F,C]
= mode(___)
```

returns
the sample mode of `M`

= mode(`A`

)`A`

, which is the most frequently
occurring value in `A`

. When there are multiple values
occurring equally frequently, `mode`

returns the
smallest of those values. For complex inputs, the smallest value is
the first value in a sorted list.

If

`A`

is a vector, then`mode(A)`

returns the most frequent value of`A`

.If

`A`

is a nonempty matrix, then`mode(A)`

returns a row vector containing the mode of each column of`A`

.If

`A`

is an empty 0-by-0 matrix,`mode(A)`

returns`NaN`

.If

`A`

is a multidimensional array, then`mode(A)`

treats the values along the first array dimension whose size does not equal`1`

as vectors and returns an array of most frequent values. The size of this dimension becomes`1`

while the sizes of all other dimensions remain the same.

The

`mode`

function is most useful with discrete or coarsely rounded data. The mode for a continuous probability distribution is defined as the peak of its density function. Applying the`mode`

function to a sample from that distribution is unlikely to provide a good estimate of the peak; it would be better to compute a histogram or density estimate and calculate the peak of that estimate. Also, the`mode`

function is not suitable for finding peaks in distributions having multiple modes.

`histcounts`

| `histogram`

| `mean`

| `median`

| `sort`