Excludemissing: Difference between revisions

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===Purpose===
===Purpose===
Automatically exclude too-much missing data in a matrix.
Automatically exclude too-much missing data in a matrix.
===Synopsis===
===Synopsis===
:[newx,bad] = excludemissing(x,threshold)
:[newx,bad] = excludemissing(x,threshold)
===Description===
===Description===
Excludes rows, columns, or n-dim elements of input x which have too''' '''much missing based on the input threshold which is a fraction of''' '''allowed missing data. If omitted, threshold will be equal to the default''' '''max_missing value of the function MDCHECK (typically 0.40).
Excludes rows, columns, or n-dim elements of input x which have too''' '''much missing based on the input threshold which is a fraction of''' '''allowed missing data. If omitted, threshold will be equal to the default''' '''max_missing value of the function MDCHECK (typically 0.40).
Outputs are a dataset object with excluded elements newx and a cell''' '''holding the indices of the bad elements for each mode of data bad.
Outputs are a dataset object with excluded elements newx and a cell''' '''holding the indices of the bad elements for each mode of data bad.
===See Also===
===See Also===
[[mdcheck]], [[replace]]
[[mdcheck]], [[replace]]

Revision as of 14:25, 3 September 2008

Purpose

Automatically exclude too-much missing data in a matrix.

Synopsis

[newx,bad] = excludemissing(x,threshold)

Description

Excludes rows, columns, or n-dim elements of input x which have too much missing based on the input threshold which is a fraction of allowed missing data. If omitted, threshold will be equal to the default max_missing value of the function MDCHECK (typically 0.40).

Outputs are a dataset object with excluded elements newx and a cell holding the indices of the bad elements for each mode of data bad.

See Also

mdcheck, replace