Given an input vector or matrix (2-D array) A, remove missing data from a vector or missing rows or columns from a matrix. A can be a numeric array, char array, or an array of cell strings. R returns the array after removal of missing data.

The values which represent missing data depend on the data type of A:

• NaN: single, double.
• ' ' (white space): char.
• {''}: string cells.

Choose to remove rows (default) or columns by setting optional input dim:

• 1: rows.
• 2: columns.

Note: data types with no default ’missing’ value will always result in R == A and a TF output of false(size(A)).

Additional optional parameters are set by Name-Value pairs. These are:

• MinNumMissing: minimum number of missing values to remove an entry, row or column, defined as a positive integer number. E.g.: if MinNumMissing is set to 2, remove the row of a numeric matrix only if it includes 2 or more NaN.

Optional return value TF is a logical array where true values represent removed entries, rows or columns from the original data A.

See also: fillmissing, ismissing, standardizeMissing

Source Code: rmmissing