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Find outliers in data

`TF = isoutlier(A)`

`TF = isoutlier(A,method)`

`TF = isoutlier(A,movmethod,window)`

`TF = isoutlier(___,dim)`

`TF = isoutlier(___,Name,Value)`

```
[TF,lower,upper,center]
= isoutlier(___)
```

returns
a logical array whose elements are `TF`

= isoutlier(`A`

)`true`

when an
outlier is detected in the corresponding element of `A`

.
By default, an outlier is a value that is more than three scaled median absolute
deviations (MAD) away from the median. If `A`

is
a matrix or table, then `isoutlier`

operates on each
column separately. If `A`

is a multidimensional array,
then `isoutlier`

operates along the first dimension
whose size does not equal 1.

specifies
a moving method for determining local outliers according to a window
length defined by `TF`

= isoutlier(`A`

,`movmethod`

,`window`

)`window`

. For example, `isoutlier(A,'movmedian',5)`

returns `true`

for
all elements more than three local scaled MAD from the local median
within a sliding window containing five elements.

specifies
additional parameters for detecting outliers using one or more name-value
pair arguments. For example, `TF`

= isoutlier(___,`Name,Value`

)`isoutlier(A,'SamplePoints',t)`

detects
outliers in `A`

relative to the corresponding elements
of a time vector `t`

.

`fillmissing`

| `filloutliers`

| `ischange`

| `islocalmax`

| `islocalmin`

| `ismissing`

| `rmmissing`

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