| Class | Description |
|---|---|
| ANCOVAEx1 |
Performs a one-way analysis of covariance.
|
| ANCOVAEx2 |
Performs one-way analysis of covariance and tests for parallelism.
|
| ANOVAEx1 |
Performs a one-way analysis of variance.
|
| ANOVAFactorialEx1 |
Performs a two-way factorial analysis of variance.
|
| ANOVAFactorialEx2 |
Performs a two-way factorial analysis of variance with
additional printed output.
|
| ANOVAFactorialEx3 |
Performs a three-way factorial analysis of variance.
|
| ARAutoUnivariateEx1 |
Finds the minimum AIC autoregressive model for the Wolfer sunspot data.
|
| ARAutoUnivariateEx2 |
Finds the minimum AIC autoregressive model for the Canadian lynx data.
|
| ARMAEstimateMissingEx1 |
Estimates missing values for a generated
\( \text{AR}(1) \) series.
|
| ARMAEx1 |
Fits an \(\text{ARMA}(2,1)\) to the Wolfer sunspot data using
the method of moments.
|
| ARMAEx2 |
Fits an \(\text{ARMA}(2,1)\) to the Wolfer sunspot data
using the method of least squares.
|
| ARMAEx3 |
Fits an \(\text{ARMA}(2,1)\) to the Wolfer sunspot data and
produces a forecast table.
|
| ARMAMaxLikelihoodEx1 |
Fits an \(\text{ARMA}(2,1)\) to the Wolfer
sunspot data using the method of maximum likelihood.
|
| ARMAOutlierIdentificationEx1 |
Performs outlier identification and simultaneously
fits an \(\text{ARIMA}(2,2,0)\) to the Canadian Lynx dataset.
|
| ARMAOutlierIdentificationEx2 |
Performs outlier identification on an
\( \text{ARMA}(1,1)\) process contaminated by outliers.
|
| ARMAOutlierIdentificationEx3 |
Forecasts an \(\text{ARMA}(2,1)\)
time series contaminated by outliers.
|
| ARSeasonalFitEx1 |
Searches for the best fit seasonality for the Airline
data.
|
| AutoARIMAEx1 |
Searches for the best fitting non-seasonal \(
\text{ARIMA} \).
|
| AutoARIMAEx2 |
Searches for the best fitting \(\text{ARIMA}(p,d,q)\)
model.
|
| AutoARIMAEx3 |
Fits an \(\text{ARIMA}(p,d,q)\) model with fixed
parameter values.
|
| AutoCorrelationEx1 |
Computes autocorrelations of the Wolfer sunspot data.
|
| CategoricalGenLinModelEx1 |
Fits a logit and probit categorical model to beetle mortality
data.
|
| CategoricalGenLinModelEx2 |
Analyzes interval type data with the Poisson model.
|
| CdfEx1 |
Evaluates various cumulative distribution functions.
|
| ChiSquaredTestEx1 |
Performs a chi-squared test on simulated data.
|
| ClusterHierarchicalEx1 |
Performs hierarchical clustering on Fisher's
iris data.
|
| ClusterKMeansEx1 |
Performs K-Means clustering on Fisher's iris data.
|
| ClusterKMeansEx2 |
Performs K-Means++ clustering on Fisher's iris data.
|
| ClusterKNNEx1 |
Performs K-Nearest Neighbor clustering on Fisher's iris data.
|
| ContingencyTableEx1 |
Performs a chi-squared test for independence.
|
| ContingencyTableEx2 |
Calculates a number of statistics associated with a contingency table.
|
| CovariancesEx1 |
Calculates a variance-covariance matrix.
|
| CrossCorrelationEx1 |
Computes the cross-covariances and cross-correlations for the gas furnace
data.
|
| DifferenceEx1 |
Computes a lagged difference formula for the airline data.
|
| DifferenceEx2 |
Computes a lagged difference formula for the airline data excluding
the lost observations.
|
| DiscriminantAnalysisEx1 |
Performs a discriminant analysis on Fisher's iris data.
|
| DissimilaritiesEx1 |
Computes a dissimilarity matrix using the Euclidean distance.
|
| EGARCHEx1 |
Fits an EGARCH(1, 1) to a segment of S&P 500 returns.
|
| EGARCHEx2 |
Fits an EGARCH(1, 1) with a user defined distribution on \(z_t\).
|
| EGARCHEx3 |
Fits an EGARCH(1, 1) with an ARMA(1,1) on the mean.
|
| EmpiricalQuantilesEx1 |
Computes empirical quantiles for rainfall data.
|
| FactorAnalysisEx1 |
Computes the principal components on a 9 variable correlation matrix.
|
| FactorAnalysisEx2 |
Compute the factors on 9 variables by the method of maximum likelihood.
|
| FaureSequenceEx1 |
Generates points of the Faure sequence.
|
| GARCHEx1 |
Estimates a \(\text{GARCH}(p,q)\) model from simulated data.
|
| HoltWintersExponentialSmoothingEx1 |
Applies Holt-Winter's exponential smoothing to a series.
|
| InvCdfEx1 |
Evaluates the inverse CDF for the beta and chi-squared random variables.
|
| InverseCdfEx1 |
Computes the inverse of a user-supplied CDF at a probability value.
|
| KalmanFilterEx1 |
Computes the filtered estimates and the one-step-ahead estimates using the
Kalman filter.
|
| KalmanFilterEx2 |
Estimates a moving average model \(\text{MA}(1)\) using the Kalman filter.
|
| KaplanMeierECDFEx1 |
Computes the survival curve for units under life-testing.
|
| KaplanMeierEstimatesEx1 |
Computes the Kaplan-Meier probability estimates for censored data.
|
| KolmogorovOneSampleEx1 |
Performs a Kolmogorov one-sample test.
|
| KolmogorovTwoSampleEx1 |
Performs a Kolmogorov two-sample test.
|
| LackOfFitEx1 |
Performs a lack-of-fit test between an \(\text{ARMA}(2,1)\) and Wolfer's
sunspot data.
|
| LifeTablesEx1 |
Computes a cohort life table.
|
| LinearRegressionEx1 |
Computes a simple linear regression model.
|
| LinearRegressionEx2 |
Computes case statistics in a simple linear regression.
|
| MersenneTwister64Ex1 |
Generates a pseudorandom sequence using the Mersenne64 Twister.
|
| MersenneTwisterEx1 |
Generates a pseudorandom sequence using the Mersenne Twister.
|
| MultiCrossCorrelationEx1 |
Computes cross-correlations for a three-channel time series.
|
| MultipleComparisonsEx1 |
Performs the Student-Newman-Keuls multiple comparison test on a small set of
means.
|
| NonlinearRegressionEx1 |
Fits a nonlinear regression using finite differences for the derivatives.
|
| NonlinearRegressionEx2 |
Fits a nonlinear regression using user supplied derivatives.
|
| NonlinearRegressionEx3 |
Fits a nonlinear regression on scaled data.
|
| NormalityTestEx1 |
Performs a test of normality.
|
| NormOneSampleEx1 |
Performs a hypothesis test for the mean of a normal distribution.
|
| NormTwoSampleEx1 |
Performs a hypothesis test for the difference in means
of two normal distributions.
|
| NormTwoSampleEx2 |
Performs a difference in means test with incremental updates.
|
| PartialCovariancesEx1 |
Computes the partial covariances for a set of 9 variables.
|
| PartialCovariancesEx2 |
Computes partial covariances after adjusting for specific variables.
|
| PdfEx1 |
Evaluates probability density functions.
|
| PooledCovariancesEx1 |
Computes a pooled variance-covariance matrix involving 2 groups.
|
| PooledCovariancesEx2 |
Computes pooled variance-covariance for Fisher's iris data.
|
| ProportionalHazardsEx1 |
Performs proportional-hazards data analysis on lung cancer data.
|
| RandomEx1 |
Generates a pseudorandom sample from a normal distribution and performs a
goodness of fit test.
|
| RandomEx2 |
Generates a pseudorandom multivariate sequence with user defined marginal
distributions.
|
| RandomEx3 |
Generates a pseudorandom sample from a discrete distribution.
|
| RandomEx4 |
Generates a pseudorandom sample from a discrete uniform distribution.
|
| RandomSamplesEx1 |
Generates a pseudorandom permutation.
|
| RandomSamplesEx2 |
Generates a set of pseudorandom indices.
|
| RandomSamplesEx3 |
Selects a sample from a data set.
|
| RandomSamplesEx4 |
Selects a pseudorandom sample from a million records.
|
| RandomSamplesEx5 |
Selects a pseudorandom sample from Fisher's iris data.
|
| RanksEx1 |
Analyzes the ranks of a data set.
|
| RegressorsForGLMEx1 |
Generates binary regressors for classification variables.
|
| RegressorsForGLMEx2 |
Sets up data for a two-way analysis of covariance.
|
| SelectionRegressionEx1 |
Finds the best regressions using the \(R^2\) criterion.
|
| SelectionRegressionEx2 |
Finds the best regressions using Mallow's \(C_p\) criterion.
|
| SignTestEx1 |
Performs the sign test on a small data set.
|
| SignTestEx2 |
Performs the sign test on a small data set.
|
| SortEx1 |
Sorts an array and computes the permutation.
|
| SortEx2 |
Sorts a matrix using columns as keys.
|
| StepwiseRegressionEx1 |
Performs stepwise regression variable selection.
|
| SummaryEx1 |
Computes summary statistics for a small data set.
|
| TableMultiWayEx1 |
Computes a two-way table in the presence of missing values.
|
| TableMultiWayEx2 |
Computes a two-way table and displays the balanced table.
|
| TableMultiWayEx3 |
Computes a two-way table and displays the unbalanced table.
|
| TableOneWayEx1 |
Computes a one-way table for a continuous scale variable.
|
| TableTwoWayEx1 |
Computes a two-way table for continuous scale data.
|
| TimeSeriesEx1 |
Sets up a time series object.
|
| TimeSeriesEx2 |
Sets up a time series with a different time zone.
|
| TimeSeriesOperationsEx1 |
Merges two time series using different merging rules.
|
| TimeSeriesOperationsEx2 |
Merges two time series using different combining methods.
|
| TimeSeriesOperationsEx3 |
Performs the backshift operation on a time series.
|
| TimeSeriesOperationsEx4 |
Performs the stacking or vectorizing operation on a time series.
|
| UserBasisRegressionEx1 |
Fits a regression to a function without noise with user
defined basis functions.
|
| UserBasisRegressionEx2 |
Fits a regression to a polynomial with user defined basis functions.
|
| VectorAutoregressionEx1 |
Fits a vector autoregression to a time series.
|
| WelchsTTestEx1 |
Performs Welch's t-test for three example data sets.
|
| WilcoxonRankSumEx1 |
Performs a rank sum test.
|
| WilcoxonRankSumEx2 |
Performs a rank sum test and displays all the statistics.
|
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