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Tset. Sets global parameters to be used by procedures that analyze time series and sequence variables.<br />

Tshow. Displays a list of all of the current specifications on the Tset, Use, Predict, and Date commands.<br />

Verify. Produces a report on the status of the most current Date, Use, and Predict specifications.<br />

Add-On Modules<br />

Add-on modules are not included with the Core system. The commands available to you will depend on<br />

your software license.<br />

Statistics Base<br />

ALSCAL. Multidimensional scaling (MDS) and multidimensional unfolding (MDU) using an alternating<br />

least-squares algorithm.<br />

Cluster. Hierarchical clusters of items based on distance measures of dissimilarity or similarity. The items<br />

being clustered are usually cases, although variables can also be clustered.<br />

Codebook. Reports the dictionary information -- such as variable names, variable labels, value labels,<br />

missing values -- and summary statistics for all or specified variables and multiple response sets in the<br />

active dataset.<br />

Correlations. Pearson correlations with significance levels, univariate statistics, covariances, and<br />

cross-product deviations.<br />

Crosstabs. Crosstabulations (contingency tables) and measures of association.<br />

Curvefit. Fits selected curves to a line plot.<br />

Descriptives. Univariate statistics, including the mean, standard deviation, and range.<br />

Discriminant. Classifies cases into one of several mutually exclusive groups based on their values for a<br />

set of predictor variables.<br />

Examine. Descriptive statistics, stem-and-leaf plots, histograms, boxplots, normal plots, robust estimates<br />

of location, and tests of normality.<br />

Factor. Identifies underlying variables, or factors, that explain the pattern of correlations within a set of<br />

observed variables.<br />

Frequencies. Tables of counts and percentages and univariate statistics, including the mean, median, and<br />

mode.<br />

Graph. Bar charts, pie charts, line charts, histograms, scatterplots, etc.<br />

KNN. Classifies and predicts cases based upon the values "nearest neighboring" cases.<br />

Linear. Creates a predictive model for a continuous target.<br />

List. Individual case listing.<br />

Means. Group means and related univariate statistics for dependent variables within categories of one or<br />

more independent variables.<br />

Mult Response. Frequency tables and crosstabulations for multiple-response data.<br />

8 IBM SPSS Statistics 23 Command Syntax Reference

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