Remove missing or incomplete data from an array or a matrix.
Given an input array or matrix A, remove rows or columns with missing data from a matrix, or remove missing data from an array. A can be a numeric or char matrix, a vector or an array of cell strings. R is the return matrix or array, after the 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.
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: ismissing, isnan.
Package: statistics