Matlab 函数分类汇总-R2011b版(8)

growTrees (TreeBagger) kfoldfun

(RegressionPartitionedModel)

Train additional trees and add to ensemble

Cross validate function

kfoldLoss Cross-validation loss of partitioned (RegressionPartitionedEnsemble) regression ensemble kfoldPredict

(RegressionPartitionedModel) loss

(CompactRegressionEnsemble) mdsProx (CompactTreeBagger) mdsProx (TreeBagger)

Predict response for observations not used for training. Regression error

Multidimensional scaling of proximity matrix

Multidimensional scaling of proximity matrix

Out-of-bag error

Out-of-bag regression error

Predict out-of-bag response of ensemble Ensemble predictions for out-of-bag observations

Outlier measure for data Predict response of ensemble Predict response Predict response

Estimates of predictor importance

meanMargin (CompactTreeBagger) Mean classification margin oobError (TreeBagger) oobLoss

(RegressionBaggedEnsemble) oobPredict

(RegressionBaggedEnsemble) oobPredict (TreeBagger) outlierMeasure

(CompactTreeBagger)

predict

(CompactRegressionEnsemble) predict (CompactTreeBagger) predict (TreeBagger) predictorImportance

(CompactRegressionEnsemble) RegressionBaggedEnsemble

proximity (CompactTreeBagger) Proximity matrix for data

Regression ensemble grown by resampling

RegressionEnsemble Ensemble regression

RegressionPartitionedEnsemble Cross-validated regression ensemble regularize (RegressionEnsemble) Find weights to minimize resubstitution

error plus penalty term resubLoss (RegressionEnsemble) Regression error by resubstitution resubPredict

(RegressionEnsemble) resume (RegressionEnsemble)

Predict response of ensemble by resubstitution

Resume training ensemble

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resume Resume training ensemble (RegressionPartitionedEnsemble) SetDefaultYfit

(CompactTreeBagger)

shrink (RegressionEnsemble) TreeBagger

Set default value for predict Prune ensemble

Bootstrap aggregation for ensemble of decision trees

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Hidden Markov Models

hmmdecode hmmestimate hmmgenerate hmmtrain hmmviterbi

Hidden Markov model posterior state probabilities Hidden Markov model parameter estimates from emissions and states

Hidden Markov model states and emissions Hidden Markov model parameter estimates from emissions

Hidden Markov model most probable state path

Design of Experiments

DOE Plots Full Factorial Designs Fractional Factorial Designs Response Surface Designs D-Optimal Designs Latin Hypercube Designs Quasi-Random Designs DOE Plots

interactionplot maineffectsplot multivarichart

Interaction plot for grouped data Main effects plot for grouped data Multivari chart for grouped data

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rsmdemo rstool

Interactive response surface demonstration Interactive response surface modeling

Full Factorial Designs

ff2n fullfact

Two-level full factorial design Full factorial design

Fractional Factorial Designs

fracfact fracfactgen

Fractional factorial design

Fractional factorial design generators

Response Surface Designs

bbdesign ccdesign

Box-Behnken design Central composite design

D-Optimal Designs

candexch candgen cordexch daugment dcovary rowexch rsmdemo

D-optimal design from candidate set using row exchanges

Candidate set generation Coordinate exchange

D-optimal augmentation

D-optimal design with fixed covariates Row exchange

Interactive response surface demonstration

Latin Hypercube Designs

lhsdesign lhsnorm

Latin hypercube sample

Latin hypercube sample from normal distribution

Quasi-Random Designs

addlistener

Add listener for event

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(qrandstream) delete

(qrandstream) end (qrandset) findobj

(qrandstream) findprop

(qrandstream)

Delete handle object

Last index in indexing expression for point set Find objects matching specified conditions Find property of MATLAB handle object

eq (qrandstream) Test handle equality

ge (qrandstream) Greater than or equal relation for handles gt (qrandstream) Greater than relation for handles haltonset isvalid

(qrandstream)

Construct Halton quasi-random point set Test handle validity

le (qrandstream) Less than or equal relation for handles length (qrandset) Length of point set

lt (qrandstream) Less than relation for handles ndims (qrandset) Number of dimensions in matrix ne (qrandstream) Not equal relation for handles net (qrandset) notify

(qrandstream) qrand

(qrandstream) qrandset qrandstream reset

(qrandstream) scramble (qrandset) size (qrandset) sobolset

Generate quasi-random point set Notify listeners of event

Generate quasi-random points from stream Abstract quasi-random point set class Construct quasi-random number stream Reset state

Scramble quasi-random point set Number of dimensions in matrix

Construct Sobol quasi-random point set

rand (qrandstream) Generate quasi-random points from stream

Statistical Process Control

SPC Plots SPC Functions 39

SPC Plots

capaplot controlchart histfit normspec

SPC Functions

capability controlrules gagerr

GUIs

aoctool dfittool disttool fsurfht polytool randtool regstats robustdemo rsmdemo rstool surfht

Utilities

combnk perms statget statset zscore

Process capability plot Shewhart control charts Histogram with normal fit

Normal density plot between specifications

Process capability indices

Western Electric and Nelson control rules Gage repeatability and reproducibility study

Interactive analysis of covariance

Interactive distribution fitting

Interactive density and distribution plots Interactive contour plot Interactive polynomial fitting Interactive random number generation Regression diagnostics Interactive robust regression

Interactive response surface demonstration Interactive response surface modeling Interactive contour plot

Enumeration of combinations Enumeration of permutations

Access values in statistics options structure Create statistics options structure Standardized z-scores

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