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R2012a Documentation → Bioinformatics Toolbox
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Contents

Index

• Getting Started

• User's Guide

• Functions

• Constructor

• Data Formats and Databases

• Data Visualization

• Trace Tools

• Sequence Conversion

• Sequence Utilities

• Sequence Statistics

• Sequence Visualization

• Pairwise Sequence Alignment

• Multiple Sequence Alignment

• Scoring Matrices

• Phylogenetic Tree Tools

• Phylogenetic Tree Methods

• Graph Theory

• Graph Visualization Methods

• Gene Ontology

• Gene Ontology Methods

• Protein Analysis

• Profile Hidden Markov Models

• Microarray File Formats

• Microarray Utilities

• Microarray Data Analysis and Visualization

• Microarray Normalization and Filtering

• BioIndexedFile Methods

• BioRead Methods

• BioMap Methods

• GFFAnnotation Methods

• GTFAnnotation Methods

• HeatMap Methods

• Clustergram Methods

• ExpressionSet Methods

• ExptData Methods

• DataMatrix Methods

colnames (DataMatrix)

disp (DataMatrix)

dmarrayfun (DataMatrix)

dmbsxfun (DataMatrix)

isequalwithequalnans (DataMatrix)

rownames (DataMatrix)

set (DataMatrix)

single (DataMatrix)

sortcols (DataMatrix)

sortrows (DataMatrix)

• MIAME Methods

• Statistical Learning

• Mass Spectrometry

• Bioanalytics

Examples

• Release Notes

std (DataMatrix) - Return standard deviation values in DataMatrix object

Syntax

S = std(DMObj) S = std(DMObj, Flag) S = std(DMObj, Flag, Dim) S = std(DMObj, Flag, Dim, IgnoreNaN)

Input Arguments

`DMObj`	DataMatrix object, such as created by `DataMatrix` (object constructor).
`Flag`	Scalar specifying how to normalize the data. Choices are: `0` — Default. Normalizes using a sample size of N – `1`, unless N = `1`, in which case, normalizes using a sample size of `1`. `1` — Normalizes using a sample size of N. N = the number of elements in each column or row, as specified by `Dim`. For more information on the normalization equations, see the MATLAB function `std`.
`Dim`	Scalar specifying the dimension of `DMObj` to calculate the standard deviations. Choices are: `1` — Default. Returns standard deviation values for elements in each column. `2` — Returns standard deviation values for elements in each row.
`IgnoreNaN`	Specifies if NaNs should be ignored. Choices are `true` (default) or `false`.

Output Arguments

S

Either of the following:

Row vector containing the standard deviation values from elements in each column in DMObj (when Dim = 1)
Column vector containing the standard deviation values from elements in each row in DMObj (when Dim = 2)

Description

S = std(DMObj) returns the standard deviation values of the elements in the columns of a DataMatrix object, treating NaNs as missing values. The data is normalized using a sample size of N – 1, where N = the number of elements in each column. S is a row vector containing the standard deviation values for elements in each column in DMObj.

S = std(DMObj, Flag) specifies how to normalize the data. If Flag = 0, normalizes using a sample size of N – 1. If Flag = 1, normalizes using a sample size of N. N = the number of elements in each column or row, as specified by Dim. For more information on the normalization equations, see the MATLAB function std. Default Flag = 0.

S = std(DMObj, Flag, Dim) returns the standard deviation values of the elements in the columns or rows of a DataMatrix object, as specified by Dim. If Dim = 1, returns S, a row vector containing the standard deviation values for elements in each column in DMObj. If Dim = 2, returns S, a column vector containing the standard deviation values for elements in each row in DMObj. Default Dim = 1.