Excludemissing: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Automatically exclude too | Automatically exclude too much missing data in a matrix. | ||
===Synopsis=== | ===Synopsis=== | ||
| Line 10: | Line 9: | ||
===Description=== | ===Description=== | ||
Excludes rows, columns, or n-dim elements of input x which have too | Excludes rows, columns, or n-dim elements of input <tt>x</tt> which have too much missing data based on the input threshold which is a fraction of allowed missing data. If omitted, threshold will be equal to the default <tt>max_missing</tt> value of the function MDCHECK (typically 0.40). | ||
Outputs are a dataset object with excluded elements <tt>newx</tt> and a cell holding the indices of the bad elements for each mode of data <tt>bad</tt>. | |||
====Inputs==== | |||
* '''x''' = input data set. | |||
====Optional Inputs==== | |||
* '''threshold''' = fraction of allowed missing data; if omitted, the default value for <tt>max_missing</tt> in the MDCHECK function will be used (typically 0.40). | |||
====Outputs==== | |||
* '''newx''' = dataset object with excluded elements. | |||
* '''bad''' = cell that holds the indices of the bad elements for each mode of <tt>x</tt>. | |||
===See Also=== | ===See Also=== | ||
[[mdcheck]], [[replace]] | [[mdcheck]], [[replace]] | ||
Latest revision as of 06:38, 9 October 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 data 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.
Inputs
- x = input data set.
Optional Inputs
- threshold = fraction of allowed missing data; if omitted, the default value for max_missing in the MDCHECK function will be used (typically 0.40).
Outputs
- newx = dataset object with excluded elements.
- bad = cell that holds the indices of the bad elements for each mode of x.