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Class: dataset

(Not Recommended) Find dataset array elements with missing values

The dataset data type is not recommended. To work with heterogeneous data, use the MATLAB^® table data type instead. See MATLAB table documentation for more information.

Syntax

I = ismissing(ds)
I = ismissing(ds,Name,Value)


Description

I = ismissing(ds) returns a logical array that indicates which elements in the dataset array, ds, contain a missing value. By default, ismissing recognizes NaN as a missing value in numeric variables, '' as a missing value in character variables, and <undefined> as a missing value in categorical arrays.

• ds2 = ds(~any(I,2),:) creates a new dataset array containing only the complete observations in ds.

• ds2 = ds(:,~any(I,1)) creates a new dataset array containing only the variables from ds with no missing values.

I = ismissing(ds,Name,Value) returns missing value indices with additional options specified by one or more Name,Value pair arguments.

Input Arguments

ds	dataset array

Name-Value Arguments

Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Before R2021a, use commas to separate each name and value, and enclose Name in quotes.

NumericTreatAsMissing	Vector of numeric values to treat as missing value indicators in floating point ds variables. ismissing always treats a NaN value as a missing value.
StringTreatAsMissing	Character vector, string array, or cell array of character vectors to treat as missing value indicators in character ds variables. ismissing always treats '' as a missing value.

Output Arguments

I	Logical array indicating which elements in ds contain a missing value. I is the same size as ds, with value 1 for elements that contain a missing value.