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| R2011b Documentation → Statistics Toolbox | |
Learn more about Statistics Toolbox |
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| Contents | Index |
This table summarizes what's new in Version 7.1 (R2009a):
| New Features and Changes | Version Compatibility Considerations | Fixed Bugs and Known Problems |
|---|---|---|
Yes | No | Bug
Reports |
New features and changes introduced in this version are:
An enhanced dataset.join method provides additional types of join operations:
join can now perform more complicated inner and outer join operations that allow a many-to-many correspondence between dataset arrays A and B, and allow unmatched observations in either A or B.
join can be of Type 'inner', 'leftouter', 'rightouter', 'fullouter', or 'outer' (which is a synonym for 'fullouter'). For an inner join, the dataset array, C, only contains observations corresponding to a combination of key values that occurred in both A and B. For a left (or right) outer join, C also contains observations corresponding to keys in A (or B) that did not match any in B (or A).
join can now return index vectors indicating the correspondence between observations in C and those in A and B.
join now supports using multiple keys.
join now supports an optional parameter for specifying missing key behavior rather than raising an error.
An enhanced dataset.export method now supports exporting directly to Microsoft® Excel® files.
The NaiveBayes classification object is suitable for data sets that contain many predictors or features.
It supports normal, kernel, multinomial, and multivariate multinomial distributions.
New classification objects, TreeBagger and CompactTreeBagger, provide improved performance through bootstrap aggregation (bagging).
Includes Breiman's "random forest" method.
Enhanced classregtree has more options for growing and pruning trees.
New perfcurve function provides graphical method to evaluate classification results.
Includes ROC (receiver operating characteristic) and other curves.
Provides a consistent interface for working with probability distributions.
Can be created directly using the ProbDistUnivParam constructor, or fit to data using the fitdist function.
Option to fit distributions by group.
Includes kernel object methods and parametric object methods that you can use to analyze the distribution represented by the object.
Includes kernel object properties and parametric object properties that you can access to determine the fit results and evaluate their accuracy.
Related enhancements in the chi2gof, histfit, kstest, probplot, and qqplot functions.
 | Version 7.2 (R2009b) Statistics Toolbox Software | Version 7.0 (R2008b) Statistics Toolbox Software |  |
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