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Functions — Alphabetical List

Function Reference  Class Reference

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addedvarplot	Added-variable plot
addlevels
categorical method	Add levels to categorical array
addlistener
qrandstream method	Add listener for event
andrewsplot	Andrews plot
anova1	One-way analysis of variance
anova2	Two-way analysis of variance
anovan	N-way analysis of variance
ansaribradley	Ansari-Bradley test
aoctool	Interactive analysis of covariance
append
TreeBagger method	Append new trees to ensemble
barttest	Bartlett's test
bbdesign	Box-Behnken design
betacdf	Beta cumulative distribution function
betafit	Beta parameter estimates
betainv	Beta inverse cumulative distribution function
betalike	Beta negative log-likelihood
betapdf	Beta probability density function
betarnd	Beta random numbers
betastat	Beta mean and variance
binocdf	Binomial cumulative distribution function
binofit	Binomial parameter estimates
binoinv	Binomial inverse cumulative distribution function
binopdf	Binomial probability density function
binornd	Binomial random numbers
binostat	Binomial mean and variance
biplot	Biplot
bootci	Bootstrap confidence interval
bootstrp	Bootstrap sampling
boundary
piecewisedistribution method	Piecewise distribution boundaries
boxplot	Box plot
candexch	Candidate set row exchange
candgen	Candidate set generation
canoncorr	Canonical correlation
capability	Process capability indices
capaplot	Process capability plot
caseread	Read case names from file
casewrite	Write case names to file
cat
categorical method	Concatenate categorical arrays
dataset method	Concatenate dataset arrays
categorical
class	Arrays for categorical data
constructor	Create categorical array
catsplit
classregtree method	Categorical splits used for branches in decision tree
ccdesign	Central composite design
cdf
function	Cumulative distribution functions
gmdistribution method	Cumulative distribution function for Gaussian mixture distribution
piecewisedistribution method	Cumulative distribution function for piecewise distribution
ProbDist method	Return cumulative distribution function (CDF) for ProbDist object
cdfplot	Empirical cumulative distribution function plot
cellstr
categorical method	Convert categorical array to cell array of strings
dataset method	Create cell array of strings from dataset array
char
categorical method	Convert categorical array to character array
chi2cdf	Chi-square cumulative distribution function
chi2gof	Chi-square goodness-of-fit test
chi2inv	Chi-square inverse cumulative distribution function
chi2pdf	Chi-square probability density function
chi2rnd	Chi-square random numbers
chi2stat	Chi-square mean and variance
children
classregtree method	Child nodes
cholcov	Cholesky-like covariance decomposition
circshift
categorical method	Shift categorical array circularly
classcount
classregtree method	Class counts
classify	Discriminant analysis
classprob
classregtree method	Class probabilities
classregtree
class	Classification and regression trees
constructor	Construct classification and regression trees
cluster
function	Construct agglomerative clusters from linkages
gmdistribution method	Construct clusters from Gaussian mixture distribution
clusterdata	Construct agglomerative clusters from data
cmdscale	Classical multidimensional scaling
combine
CompactTreeBagger method	Combine two ensembles
combnk	Enumeration of combinations
compact
TreeBagger method	Compact ensemble of decision trees
CompactTreeBagger
class	Compact ensemble of decision trees grown by bootstrap aggregation
constructor	Create CompactTreeBagger object
confusionmat	Confusion matrix
controlchart	Shewhart control charts
controlrules	Western Electric and Nelson control rules
cophenet	Cophenetic correlation coefficient
copulacdf	Copula cumulative distribution function
copulafit	Fit copula to data
copulaparam	Copula parameters as function of rank correlation
copulapdf	Copula probability density function
copularnd	Copula random numbers
copulastat	Copula rank correlation
cordexch	Coordinate exchange
corr	Linear or rank correlation
corrcov	Convert covariance matrix to correlation matrix
coxphfit	Cox proportional hazards regression
createns	Create object to use in k-nearest neighbors search
crosstab	Cross-tabulation
crossval	Loss estimate using cross-validation
ctranspose
categorical method	Transpose categorical matrix
cutcategories
classregtree method	Cut categories
cutpoint
classregtree method	Returns decision tree cut point values
cuttype
classregtree method	Cut types
cutvar
classregtree method	Cut variable names
cvpartition
class	Data partitions for cross-validation
constructor	Create cross-validation partition for data
dataset
class	Arrays for statistical data
constructor	Construct dataset array
datasetfun
dataset method	Apply function to dataset array variables
daugment	D-optimal augmentation
dcovary	D-optimal design with fixed covariates
delete
qrandstream method	Delete handle object
dendrogram	Dendrogram plot
dfittool	Interactive distribution fitting
disp
categorical method	Display categorical array
classregtree method	Display classregtree object
cvpartition method	Display cvpartition object
dataset method	Display dataset array
gmdistribution method	Display Gaussian mixture distribution object
NaiveBayes method	Display NaiveBayes classifier object
piecewisedistribution method	Display piecewisedistribution object
qrandset method	Display qrandset object
qrandstream method	Display qrandstream object
display
categorical method	Display categorical array
classregtree method	Display classregtree object
cvpartition method	Display cvpartition object
dataset method	Display dataset array
gmdistribution method	Display Gaussian mixture distribution object
NaiveBayes method	Display NaiveBayes classifier object
piecewisedistribution method	Display piecewisedistribution object
disttool	Interactive density and distribution plots
double
categorical method	Convert categorical array to double array
dataset method	Convert dataset variables to double array
droplevels
categorical method	Drop levels
dummyvar	Create dummy variables
dwtest	Durbin-Watson test
ecdf	Empirical cumulative distribution function
ecdfhist	Empirical cumulative distribution function histogram
end
categorical method	Last index in indexing expression for categorical array
dataset method	Last index in indexing expression for dataset array
qrandset method	Last index in indexing expression for point set
eq
qrandstream method	Test handle equality
error
CompactTreeBagger method	Error (misclassification probability or MSE)
TreeBagger method	Error (misclassification probability or MSE)
eval
classregtree method	Predicted responses
evcdf	Extreme value cumulative distribution function
evfit	Extreme value parameter estimates
evinv	Extreme value inverse cumulative distribution function
evlike	Extreme value negative log-likelihood
evpdf	Extreme value probability density function
evrnd	Extreme value random numbers
evstat	Extreme value mean and variance
ExhaustiveSearcher	Nearest neighbors search using exhaustive search
expcdf	Exponential cumulative distribution function
expfit	Exponential parameter estimates
expinv	Exponential inverse cumulative distribution function
explike	Exponential negative log-likelihood
export
dataset method	Write dataset array to file
exppdf	Exponential probability density function
exprnd	Exponential random numbers
expstat	Exponential mean and variance
factoran	Factor analysis
fcdf	F cumulative distribution function
ff2n	Two-level full factorial design
fillProximities
TreeBagger method	Proximity matrix for training data
findobj
qrandstream method	Find objects matching specified conditions
findprop
qrandstream method	Find property of MATLAB handle object
finv	F inverse cumulative distribution function
fit
gmdistribution static method	Gaussian mixture parameter estimates
NaiveBayes method	Create Naive Bayes classifier object by fitting training data
fitdist	Fit probability distribution to data
flipdim
categorical method	Flip categorical array along specified dimension
fliplr
categorical method	Flip categorical matrix in left/right direction
flipud
categorical method	Flip categorical matrix in up/down direction
fpdf	F probability density function
fracfact	Fractional factorial design
fracfactgen	Fractional factorial design generators
friedman	Friedman's test
frnd	F random numbers
fstat	F mean and variance
fsurfht	Interactive contour plot
fullfact	Full factorial design
gagerr	Gage repeatability and reproducibility study
gamcdf	Gamma cumulative distribution function
gamfit	Gamma parameter estimates
gaminv	Gamma inverse cumulative distribution function
gamlike	Gamma negative log-likelihood
gampdf	Gamma probability density function
gamrnd	Gamma random numbers
gamstat	Gamma mean and variance
ge
qrandstream method	Greater than or equal relation for handles
geocdf	Geometric cumulative distribution function
geoinv	Geometric inverse cumulative distribution function
geomean	Geometric mean
geopdf	Geometric probability density function
geornd	Geometric random numbers
geostat	Geometric mean and variance
get
dataset method	Access dataset array properties
getlabels
categorical method	Access categorical array labels
getlevels
categorical method	Get categorical array levels
gevcdf	Generalized extreme value cumulative distribution function
gevfit	Generalized extreme value parameter estimates
gevinv	Generalized extreme value inverse cumulative distribution function
gevlike	Generalized extreme value negative log-likelihood
gevpdf	Generalized extreme value probability density function
gevrnd	Generalized extreme value random numbers
gevstat	Generalized extreme value mean and variance
gline	Interactively add line to plot
glmfit	Generalized linear model regression
glmval	Generalized linear model values
glyphplot	Glyph plot
gmdistribution
class	Gaussian mixture models
constructor	Construct Gaussian mixture distribution
gname	Add case names to plot
gpcdf	Generalized Pareto cumulative distribution function
gpfit	Generalized Pareto parameter estimates
gpinv	Generalized Pareto inverse cumulative distribution function
gplike	Generalized Pareto negative log-likelihood
gplotmatrix	Matrix of scatter plots by group
gppdf	Generalized Pareto probability density function
gprnd	Generalized Pareto random numbers
gpstat	Generalized Pareto mean and variance
growTrees
TreeBagger method	Train additional trees and add to ensemble
grp2idx	Create index vector from grouping variable
grpstats
function	Summary statistics by group
dataset method	Summary statistics by group for dataset arrays
gscatter	Scatter plot by group
gt
qrandstream method	Greater than relation for handles
haltonset
class	Halton quasi-random point sets
constructor	Construct Halton quasi-random point set
harmmean	Harmonic mean
hist
categorical method	Plot histogram of categorical data
hist3	Bivariate histogram
histfit	Histogram with normal fit
hmmdecode	Hidden Markov model posterior state probabilities
hmmestimate	Hidden Markov model parameter estimates from emissions and states
hmmgenerate	Hidden Markov model states and emissions
hmmtrain	Hidden Markov model parameter estimates from emissions
hmmviterbi	Hidden Markov model most probable state path
horzcat
categorical method	Horizontal concatenation for categorical arrays
dataset method	Horizontal concatenation for dataset arrays
hougen	Hougen-Watson model
hygecdf	Hypergeometric cumulative distribution function
hygeinv	Hypergeometric inverse cumulative distribution function
hygepdf	Hypergeometric probability density function
hygernd	Hypergeometric random numbers
hygestat	Hypergeometric mean and variance
icdf
function	Inverse cumulative distribution functions
piecewisedistribution method	Inverse cumulative distribution function for piecewise distribution
ProbDistUnivKernel method	Return inverse cumulative distribution function (ICDF) for ProbDistUnivKernel object
ProbDistUnivParam method	Return inverse cumulative distribution function (ICDF) for ProbDistUnivParam object
inconsistent	Inconsistency coefficient
int16
categorical method	Convert categorical array to signed 16-bit integer array
int32
categorical method	Convert categorical array to signed 32-bit integer array
int64
categorical method	Convert categorical array to signed 64-bit integer array
int8
categorical method	Convert categorical array to signed 8-bit integer array
interactionplot	Interaction plot for grouped data
intersect
categorical method	Set intersection for categorical arrays
invpred	Inverse prediction
ipermute
categorical method	Inverse permute dimensions of categorical array
iqr
function	Interquartile range
ProbDistUnivKernel method	Return interquartile range (IQR) for ProbDistUnivKernel object
ProbDistUnivParam method	Return interquartile range (IQR) for ProbDistUnivParam object
isbranch
classregtree method	Test node for branch
isempty
categorical method	True for empty categorical array
dataset method	True for empty dataset array
isequal
categorical method	True if categorical arrays are equal
islevel
categorical method	Test for levels
ismember
categorical method	True for elements of categorical array in set
ordinal method	Test for membership
isscalar
categorical method	True if categorical array is scalar
isundefined
categorical method	Test for undefined elements
isvalid
qrandstream method	Test handle validity
isvector
categorical method	True if categorical array is vector
iwishrnd	Inverse Wishart random numbers
jackknife	Jackknife sampling
jbtest	Jarque-Bera test
johnsrnd	Johnson system random numbers
join
dataset method	Merge observations
KDTreeSearcher	Nearest neighbors search using kd-tree
kmeans	K-means clustering
knnsearch
function	Find k-nearest neighbors using data
ExhaustiveSearcher method	Find k-nearest neighbors using ExhaustiveSearcher object
KDTreeSearcher method	Find k-nearest neighbors using KDTreeSearcher object
kruskalwallis	Kruskal-Wallis test
ksdensity	Kernel smoothing density estimate
kstest	One-sample Kolmogorov-Smirnov test
kstest2	Two-sample Kolmogorov-Smirnov test
kurtosis	Kurtosis
le
qrandstream method	Less than or equal relation for handles
length
categorical method	Length of categorical array
dataset method	Length of dataset array
qrandset method	Length of point set
levelcounts
categorical method	Element counts by level
leverage	Leverage
lhsdesign	Latin hypercube sample
lhsnorm	Latin hypercube sample from normal distribution
lillietest	Lilliefors test
linhyptest	Linear hypothesis test
linkage	Create agglomerative hierarchical cluster tree
logncdf	Lognormal cumulative distribution function
lognfit	Lognormal parameter estimates
logninv	Lognormal inverse cumulative distribution function
lognlike	Lognormal negative log-likelihood
lognpdf	Lognormal probability density function
lognrnd	Lognormal random numbers
lognstat	Lognormal mean and variance
lowerparams
paretotails method	Lower Pareto tails parameters
lsline	Add least-squares line to scatter plot
lt
qrandstream method	Less than relation for handles
mad	Mean or median absolute deviation
mahal
function	Mahalanobis distance
gmdistribution method	Mahalanobis distance to component means
maineffectsplot	Main effects plot for grouped data
manova1	One-way multivariate analysis of variance
manovacluster	Dendrogram of group mean clusters following MANOVA
margin
CompactTreeBagger method	Classification margin
TreeBagger method	Classification margin
mdscale	Nonclassical multidimensional scaling
mdsProx
CompactTreeBagger method	Multidimensional scaling of proximity matrix
TreeBagger method	Multidimensional scaling of proximity matrix
mean
ProbDistUnivParam method	Return mean of ProbDistUnivParam object
meanMargin
CompactTreeBagger method	Mean classification margin
TreeBagger method	Mean classification margin
median
ProbDistUnivKernel method	Return median of ProbDistUnivKernel object
ProbDistUnivParam method	Return median of ProbDistUnivParam object
mergelevels
ordinal method	Merge levels
mhsample	Metropolis-Hastings sample
mle	Maximum likelihood estimates
mlecov	Asymptotic covariance of maximum likelihood estimators
mnpdf	Multinomial probability density function
mnrfit	Multinomial logistic regression
mnrnd	Multinomial random numbers
mnrval	Multinomial logistic regression values
moment	Central moments
multcompare	Multiple comparison test
multivarichart	Multivari chart for grouped data
mvncdf	Multivariate normal cumulative distribution function
mvnpdf	Multivariate normal probability density function
mvnrnd	Multivariate normal random numbers
mvregress	Multivariate linear regression
mvregresslike	Negative log-likelihood for multivariate regression
mvtcdf	Multivariate t cumulative distribution function
mvtpdf	Multivariate t probability density function
mvtrnd	Multivariate t random numbers
NaiveBayes
class	Naive Bayes classifier
constructor	Create NaiveBayes object
nancov	Covariance ignoring NaN values
nanmax	Maximum ignoring NaN values
nanmean	Mean ignoring NaN values
nanmedian	Median ignoring NaN values
nanmin	Minimum ignoring NaN values
nanstd	Standard deviation ignoring NaN values
nansum	Sum ignoring NaN values
nanvar	Variance, ignoring NaN values
nbincdf	Negative binomial cumulative distribution function
nbinfit	Negative binomial parameter estimates
nbininv	Negative binomial inverse cumulative distribution function
nbinpdf	Negative binomial probability density function
nbinrnd	Negative binomial random numbers
nbinstat	Negative binomial mean and variance
ncfcdf	Noncentral F cumulative distribution function
ncfinv	Noncentral F inverse cumulative distribution function
ncfpdf	Noncentral F probability density function
ncfrnd	Noncentral F random numbers
ncfstat	Noncentral F mean and variance
nctcdf	Noncentral t cumulative distribution function
nctinv	Noncentral t inverse cumulative distribution function
nctpdf	Noncentral t probability density function
nctrnd	Noncentral t random numbers
nctstat	Noncentral t mean and variance
ncx2cdf	Noncentral chi-square cumulative distribution function
ncx2inv	Noncentral chi-square inverse cumulative distribution function
ncx2pdf	Noncentral chi-square probability density function
ncx2rnd	Noncentral chi-square random numbers
ncx2stat	Noncentral chi-square mean and variance
ndims
categorical method	Number of dimensions of categorical array
dataset method	Number of dimensions of dataset array
qrandset method	Number of dimensions in matrix
ne
qrandstream method	Not equal relation for handles
NeighborSearcher	Nearest neighbor search object
net
qrandset method	Generate quasi-random point set
nlinfit	Nonlinear regression
nlintool	Interactive nonlinear regression
nlmefit	Nonlinear mixed-effects estimation
nlmefitsa	Fit nonlinear mixed effects model with stochastic EM algorithm
nlparci	Nonlinear regression parameter confidence intervals
nlpredci	Nonlinear regression prediction confidence intervals
nnmf	Nonnegative matrix factorization
nodeerr
classregtree method	Return vector of node errors
nodeprob
classregtree method	Node probabilities
nodesize
classregtree method	Return node size
nominal
class	Arrays for nominal categorical data
constructor	Construct nominal categorical array
normcdf	Normal cumulative distribution function
normfit	Normal parameter estimates
norminv	Normal inverse cumulative distribution function
normlike	Normal negative log-likelihood
normpdf	Normal probability density function
normplot	Normal probability plot
normrnd	Normal random numbers
normspec	Normal density plot between specifications
normstat	Normal mean and variance
notify
qrandstream method	Notify listeners of event
nsegments
piecewisedistribution method	Number of segments
numel
categorical method	Number of elements in categorical array
dataset method	Number of elements in dataset array
numnodes
classregtree method	Number of nodes
oobError
TreeBagger method	Out-of-bag error
oobMargin
TreeBagger method	Out-of-bag margins
oobMeanMargin
TreeBagger method	Out-of-bag mean margins
oobPredict
TreeBagger method	Ensemble predictions for out-of-bag observations
ordinal
class	Arrays for ordinal categorical data
constructor	Construct ordinal categorical array
outlierMeasure
CompactTreeBagger method	Outlier measure for data
parallelcoords	Parallel coordinates plot
paramci
ProbDistUnivParam method	Return parameter confidence intervals of ProbDistUnivParam object
parent
classregtree method	Parent node
pareto	Pareto chart
paretotails
class	Empirical distributions with Pareto tails
constructor	Construct Pareto tails object
partialcorr	Linear or rank partial correlation coefficients
pcacov	Principal component analysis on covariance matrix
pcares	Residuals from principal component analysis
pdf
function	Probability density functions
gmdistribution method	Probability density function for Gaussian mixture distribution
piecewisedistribution method	Probability density function for piecewise distribution
ProbDist method	Return probability density function (PDF) for ProbDist object
pdist	Pairwise distance between pairs of objects
pdist2	Pairwise distance between two sets of observations
pearsrnd	Pearson system random numbers
perfcurve	Compute Receiver Operating Characteristic (ROC) curve or other performance curve for classifier output
perms	Enumeration of permutations
permute
categorical method	Permute dimensions of categorical array
piecewisedistribution
class	Piecewise-defined distributions
constructor	Create piecewise distribution object
plsregress	Partial least-squares regression
poisscdf	Poisson cumulative distribution function
poissfit	Poisson parameter estimates
poissinv	Poisson inverse cumulative distribution function
poisspdf	Poisson probability density function
poissrnd	Poisson random numbers
poisstat	Poisson mean and variance
polyconf	Polynomial confidence intervals
polytool	Interactive polynomial fitting
posterior
gmdistribution method	Posterior probabilities of components
NaiveBayes method	Compute posterior probability of each class for test data
prctile	Calculate percentile values
predict
CompactTreeBagger method	Predict response
NaiveBayes method	Predict class label for test data
TreeBagger method	Predict response
princomp	Principal component analysis on data
ProbDist	Object representing probability distribution
ProbDistKernel	Object representing nonparametric probability distribution defined by kernel smoothing
ProbDistParametric	Object representing parametric probability distribution
ProbDistUnivKernel
class	Object representing univariate kernel probability distribution
constructor	Construct ProbDistUnivKernel object
ProbDistUnivParam
class	Object representing univariate parametric probability distribution
constructor	Construct ProbDistUnivParam object
probplot	Probability plots
procrustes	Procrustes analysis
proximity
CompactTreeBagger method	Proximity matrix for data
prune
classregtree method	Prune tree
qqplot	Quantile-quantile plot
qrand
qrandstream method	Generate quasi-random points from stream
qrandset
class	Quasi-random point sets
constructor	Abstract quasi-random point set class
qrandstream
class	Quasi-random number streams
constructor	Construct quasi-random number stream
quantile	Quantiles
rand
qrandstream method	Generate quasi-random points from stream
randg	Gamma random numbers
random
function	Random numbers
gmdistribution method	Random numbers from Gaussian mixture distribution
piecewisedistribution method	Random numbers from piecewise distribution
ProbDist method	Generate random number drawn from ProbDist object
randsample	Random sample
randtool	Interactive random number generation
range	Range of values
ranksum	Wilcoxon rank sum test
raylcdf	Rayleigh cumulative distribution function
raylfit	Rayleigh parameter estimates
raylinv	Rayleigh inverse cumulative distribution function
raylpdf	Rayleigh probability density function
raylrnd	Rayleigh random numbers
raylstat	Rayleigh mean and variance
rcoplot	Residual case order plot
refcurve	Add reference curve to plot
refline	Add reference line to plot
regress	Multiple linear regression
regstats	Regression diagnostics
reorderlevels
categorical method	Reorder levels
repartition
cvpartition method	Repartition data for cross-validation
replacedata
dataset method	Replace dataset variables
repmat
categorical method	Replicate and tile categorical array
reset
qrandstream method	Reset state
reshape
categorical method	Resize categorical array
ridge	Ridge regression
risk
classregtree method	Node risks
robustdemo	Interactive robust regression
robustfit	Robust regression
rot90
categorical method	Rotate categorical matrix 90 degrees
rotatefactors	Rotate factor loadings
rowexch	Row exchange
rsmdemo	Interactive response surface demonstration
rstool	Interactive response surface modeling
runstest	Run test for randomness
sampsizepwr	Sample size and power of test
scatterhist	Scatter plot with marginal histograms
scramble
qrandset method	Scramble quasi-random point set
segment
piecewisedistribution method	Segments containing values
sequentialfs	Sequential feature selection
set
dataset method	Set and display properties
SetDefaultYfit
CompactTreeBagger method	Set default value for predict
setdiff
categorical method	Set difference for categorical arrays
setlabels
categorical method	Label levels
setxor
categorical method	Set exclusive-or for categorical arrays
shiftdim
categorical method	Shift dimensions of categorical array
signrank	Wilcoxon signed rank test
signtest	Sign test
silhouette	Silhouette plot
single
categorical method	Convert categorical array to single array
dataset method	Convert dataset variables to single array
size
categorical method	Size of categorical array
dataset method	Size of dataset array
qrandset method	Number of dimensions in matrix
skewness	Skewness
slicesample	Slice sampler
sobolset
class	Sobol quasi-random point sets
constructor	Construct Sobol quasi-random point set
sort
ordinal method	Sort elements of ordinal array
sortrows
dataset method	Sort rows of dataset array
ordinal method	Sort rows
squareform	Format distance matrix
squeeze
categorical method	Squeeze singleton dimensions from categorical array
stack
dataset method	Stack data from multiple variables into single variable
statget	Access values in statistics options structure
statset	Create statistics options structure
std
ProbDistUnivParam method	Return standard deviation of ProbDistUnivParam object
stepwise	Interactive stepwise regression
stepwisefit	Stepwise regression
subsasgn
categorical method	Subscripted assignment for categorical array
classregtree method	Subscripted reference for classregtree object
dataset method	Subscripted assignment to dataset array
gmdistribution method	Subscripted reference for Gaussian mixture distribution object
NaiveBayes method	Subscripted reference for NaiveBayes object
subsindex
categorical method	Subscript index for categorical array
subsref
categorical method	Subscripted reference for categorical array
classregtree method	Subscripted reference for classregtree object
dataset method	Subscripted reference for dataset array
gmdistribution method	Subscripted reference for Gaussian mixture distribution object
NaiveBayes method	Subscripted reference for NaiveBayes object
qrandset method	Subscripted reference for qrandset
summary
categorical method	Summary statistics for categorical array
dataset method	Print summary of dataset array
surfht	Interactive contour plot
tabulate	Frequency table
tblread	Read tabular data from file
tblwrite	Write tabular data to file
tcdf	Student's t cumulative distribution function
tdfread	Read tab-delimited file
test
classregtree method	Error rate
cvpartition method	Test indices for cross-validation
tiedrank	Rank adjusted for ties
times
categorical method	Product of categorical arrays
tinv	Student's t inverse cumulative distribution function
tpdf	Student's t probability density function
training
cvpartition method	Training indices for cross-validation
transpose
categorical method	Transpose categorical matrix
TreeBagger
class	Bootstrap aggregation for ensemble of decision trees
constructor	Create ensemble of bagged decision trees
treedisp	Plot tree
treefit	Fit tree
treeprune	Prune tree
treetest	Error rate
treeval	Predicted responses
trimmean	Mean excluding outliers
trnd	Student's t random numbers
tstat	Student's t mean and variance
ttest	One-sample and paired-sample t-test
ttest2	Two-sample t-test
type
classregtree method	Tree type
uint16
categorical method	Convert categorical array to unsigned 16-bit integers
uint32
categorical method	Convert categorical array to unsigned 32-bit integers
uint64
categorical method	Convert categorical array to unsigned 64-bit integers
uint8
categorical method	Convert categorical array to unsigned 8-bit integers
unidcdf	Discrete uniform cumulative distribution function
unidinv	Discrete uniform inverse cumulative distribution function
unidpdf	Discrete uniform probability density function
unidrnd	Discrete uniform random numbers
unidstat	Discrete uniform mean of and variance
unifcdf	Continuous uniform cumulative distribution function
unifinv	Continuous uniform inverse cumulative distribution function
unifit	Continuous uniform parameter estimates
unifpdf	Continuous uniform probability density function
unifrnd	Continuous uniform random numbers
unifstat	Continuous uniform mean and variance
union
categorical method	Set union for categorical arrays
unique
categorical method	Unique values in categorical array
dataset method	Unique observations in dataset array
unstack
dataset method	Unstack data from single variable into multiple variables
upperparams
paretotails method	Upper Pareto tails parameters
var
ProbDistUnivParam method	Return variance of ProbDistUnivParam object
varimportance
classregtree method	Compute embedded estimates of input feature importance
vartest	Chi-square variance test
vartest2	Two-sample F-test for equal variances
vartestn	Bartlett multiple-sample test for equal variances
vertcat
categorical method	Vertical concatenation for categorical arrays
dataset method	Vertical concatenation for dataset arrays
view
classregtree method	Plot tree
wblcdf	Weibull cumulative distribution function
wblfit	Weibull parameter estimates
wblinv	Weibull inverse cumulative distribution function
wbllike	Weibull negative log-likelihood
wblpdf	Weibull probability density function
wblplot	Weibull probability plot
wblrnd	Weibull random numbers
wblstat	Weibull mean and variance
wishrnd	Wishart random numbers
x2fx	Convert predictor matrix to design matrix
xptread	Create dataset array from data stored in SAS XPORT format file
zscore	Standardized z-scores
ztest	z-test

Class Reference

Data Sets

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