The TDA documentation consists of a set of hierarchically connected PostScript files. They are organized to allow an easy update of the documentation.

You may get either parts of the documentation as shown below by the table of contents, or you may get the complete documentation: tman.zip If you click on specific documents in the table of contens you have the choice between a PostScript file and a zip archive that contains the PostScript file. In any case, each document will also contain all following documents with a lower level. If you click on the complete documentation you will get a zip archive that contains PostScript files for the highest level parts of the documentation.

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There is also an experimental screen-optimized PDF version of the manual containing links. It may be used as an online reference.


Wolfgang Ludwig-Mayerhofer wrote a short introduction to TDA emphasizing event history applications.



Title Page and Table of Contents 01.12.99 d00.zip
Introduction 01.12.99 d01.zip
Preface 01.12.99 d0101.zip
Documentation 01.12.99 d0102.zip
Installation 01.12.99 d0103.zip
How to Use the Program 01.12.99 d0104.zip
Exmple Archive 01.12.99 d0105.zip
Errors and Error Messages 01.12.99 d0106.zip
Some General Commands 01.12.99 d0107.zip
Command Flow Control 01.12.99 d0108.zip
Programming Repetitions 01.12.99 d0109.zip
User-defined Macros 01.12.99 d0110.zip
Data Handling 01.12.99 d02.zip
Variables 01.12.99 d0201.zip
Creating New Variables 01.12.99 d0202.zip
Removing Variables 01.12.99 d0203.zip
Recoding Variables 01.12.99 d0204.zip
Dummy Variables 01.12.99 d0205.zip
String Variables 01.12.99 d0206.zip
Namelists 01.12.99 d0207.zip
Temporary Case Selection 01.12.99 d0208.zip
Writing Data Files 01.12.99 d0209.zip
Data Archives 01.12.99 d0210.zip
Creating Data Archives 01.12.99 d021001.zip
Variable Description Files 01.12.99 d021002.zip
Archive Description Files 01.12.99 d021003.zip
Data Archive Commands 01.12.99 d021004.zip
Special Format Data Files 01.12.99 d0211.zip
TDA System Files 01.12.99 d021101.zip
SPSS Files 01.12.99 d021102.zip
SPSS Portable Files 01.12.99 d02110201.zip
SPSS Sav Files 01.12.99 d02110202.zip
Stata Files 01.12.99 d021103.zip
Data File Utilities 01.12.99 d0212.zip
Characters in a File 01.12.99 d021201.zip
Records in a File 01.12.99 d021202.zip
Binary Contents of a File 01.12.99 d021203.zip
Splitting Files into Parts 01.12.99 d021204.zip
External Sorting 01.12.99 d021205.zip
External Merging 01.12.99 d021206.zip
Selection of Records 01.12.99 d021207.zip
Dropping Selected Columns 01.12.99 d021208.zip
Data Structures 01.12.99 d03.zip
Cross-sectional Data 01.12.99 d0301.zip
Panel Data 01.12.99 d0302.zip
Episode Data 01.12.99 d0303.zip
Episode Data Concepts 01.12.99 d030301.zip
Defining Episode Data 01.12.99 d030302.zip
An Example Data Set 01.12.99 d030303.zip
Writing Episode Data 01.12.99 d030304.zip
Merging Episode Data 01.12.99 d030305.zip
Sequence Data 01.12.99 d0304.zip
Sequence Data Concepts 01.12.99 d030401.zip
Defining Sequence Data 01.12.99 d030402.zip
Writing Sequence Data 01.12.99 d030403.zip
Deriving Sequences from Episodes 01.12.99 d030404.zip
State Indicator Matrices 01.12.99 d030405.zip
Random Sequences 01.12.99 d030406.zip
Graphs and Relations 01.12.99 d0306.zip
Terminology 01.12.99 d030601.zip
Graph Data Structures 01.12.99 d030602.zip
Creating Relational Data 01.12.99 d030603.zip
Simple Test Data 01.12.99 d03060301.zip
Relational Data Files 01.12.99 d030604.zip
Writing Relational Data Files 01.12.99 d03060401.zip
Creating Adjacency Matrices 01.12.99 d03060402.zip
Plotting Graphs 01.12.99 d030605.zip
Trees 01.12.99 d030606.zip
PostScript Plots 01.12.99 d04.zip
Preparing the Plot Environment 01.12.99 d0401.zip
Plotting the Coordinate System 01.12.99 d0402.zip
Combining Plot Files 01.12.99 d0403.zip
Plot Objects 01.12.99 d0404.zip
Polygons and Scatterplots 29.05.02 d040401.zip
Line Types and Marker Symbols 01.12.99 d040402.zip
Plotting Text 01.12.99 d040403.zip
Rectangles 01.12.99 d040404.zip
Step Functions 01.12.99 d040405.zip
General Functions 01.12.99 d040406.zip
Arrows 01.12.99 d040407.zip
Circles, Arcs, Ellipses 01.12.99 d040408.zip
Convex Hull 01.12.99 d040409.zip
Smoothing Polygons 01.12.99 d040410.zip
Contour Plots 01.12.99 d040411.zip
Built-in Previewer 01.12.99 d0405.zip
Ready-made Plot Commands 01.12.99 d0406.zip
3D Coordinate Systems 29.05.02 d0407.zip
Coordinates and Projections 29.05.02 d040701.zip
The plot3 and plotp3 Commands 29.05.99 d040702.zip
Plotting Text 29.05.99 d040703.zip
Parametric Curves 29.05.99 d040704.zip
Parametric Surfaces 29.05.02 d040705.zip
Arbitrarily Distributes Points 29.05.99 d040706.zip
Mathematical Procedures 01.12.99 d05.zip
Working with Matrices 01.12.99 d0501.zip
Introduction and Overview 23.12.02 d050101.zip
Matrices 15.12.02 d050102.zip
Matrix Expressions 15.12.02 d050103.zip
Matrix Commands 01.12.99 d050104.zip
Elementary Matrix Commands 23.12.02 d05010401.zip
Sorting and Ranking 01.12.99 d05010402.zip
Standardization and Scaling 15.12.02 d05010403.zip
Matrix Norms 01.12.99 d05010404.zip
Inverse Matrices 01.12.99 d05010405.zip
Cholesky Decomposition 01.12.99 d05010406.zip
Least Squares Regression 01.12.99 d05010407.zip
Linear Equations 15.12.02 d05010408.zip
Linear Inequalities 01.12.99 d05010409.zip
Regression with Constraints 01.12.99 d05010410.zip
Eigenvalues and Eigenvectors 22.12.02 d05010411.zip
Singular Value Decomposition 01.12.99 d05010412.zip
Linear Programming 01.12.99 d05010413.zip
Some Further Commands 22.12.02 d05010414.zip
Expressions 01.12.99 d0502.zip
Introduction 01.12.99 d050201.zip
Evaluating Expressios 01.12.99 d050202.zip
Numerical Constants 01.12.99 d050203.zip
Random Numbers 01.12.99 d050204.zip
Type 1 Operators 01.12.99 d050205.zip
General Type 1 Operators 19.12.99 d05020501.zip
Arithmetical Operators 01.12.99 d05020502.zip
Mathematical Operators 01.12.99 d05020503.zip
Logical Operators 01.12.99 d05020504.zip
Dummy Variables 01.12.99 d05020505.zip
Density Functions 01.12.99 d05020506.zip
Distribution Functions 01.12.99 d05020507.zip
Julian Calendar 01.12.99 d05020508.zip
String Variables 19.12.99 d05020509.zip
Type 2 Operators 01.12.99 d050206.zip
General Type 2 Operators 29.05.02 d05020601.zip
Recode Operators 01.12.99 d05020602.zip
Leads and Lags 01.12.99 d05020603.zip
Sorting and Ranking 01.12.99 d05020604.zip
Counting Subsets 01.12.99 d05020605.zip
Counting Changes 01.12.99 d05020606.zip
Aggregates 01.12.99 d05020607.zip
String Variables 01.12.99 d05020608.zip
Block Mode Operators 01.12.99 d050207.zip
Operators for Episode Data 01.12.99 d050208.zip
Operators for Sequence Data 01.12.99 d050209.zip
Functions 01.12.99 d0503.zip
Syntax for Functions 01.12.99 d050301.zip
Automatic Differentiation 01.12.99 d050302.zip
Evaluating Functions 01.12.99 d050303.zip
Numerical Integration 01.12.99 d0504.zip
Commands for Integration 01.12.99 d050401.zip
Operators for Integration 01.12.99 d050402.zip
Smoothing Procedures 01.12.99 d0505.zip
Moving Averages 01.12.99 d050501.zip
Running Median Smoothers 01.12.99 d050502.zip
Smoothing Splines 01.12.99 d050503.zip
Function Minimization 01.12.99 d0506.zip
The fmin Command 01.12.99 d050601.zip
Minimization Algorithms 01.12.99 d050602.zip
Protocol File 01.12.99 d050603.zip
Starting Values 01.12.99 d050604.zip
Covariance Matrix 01.12.99 d050605.zip
Constraints 01.12.99 d050606.zip
Possible Difficulties 01.12.99 d050607.zip
Statistical Procedures 01.12.99 d06.zip
Introduction 01.12.99 d0601.zip
Missing Values 01.12.99 d060101.zip
Case Weights 01.12.99 d060102.zip
Elementary Descriptive Procedures 01.12.99 d0602.zip
Mean and Range of Variables 01.12.99 d060201.zip
Empirical Distribution Functions 01.12.99 d060202.zip
Quantiles 12.12.01 d060203.zip
Frequency Tables 01.12.99 d060204.zip
Aggregated Tables 01.12.99 d060205.zip
Covariance and Correlation 01.12.99 d060206.zip
Contingency Measures 01.12.99 d060207.zip
Scatterplots 01.12.99 d060208.zip
Histogram Plots 01.12.99 d060209.zip
Density Plots 01.12.99 d060210.zip
Concentration and Inequality 01.12.99 d0604.zip
Inequality Measures 01.12.99 d060402.zip
Segregation Indices 01.12.99 d060403.zip
Describing Episode Data 01.12.99 d0605.zip
Life Tables 01.12.99 d060501.zip
Kaplan-Meier Procedure 01.12.99 d060502.zip
Survivor Function Quantiles 01.12.99 d060503.zip
Comparing Survivor Functions 01.12.99 d060504.zip
State Distributions 01.12.99 d060505.zip
Describing Sequence Data 01.12.99 d0606.zip
Sequence Lengths and Gaps 01.12.99 d060601.zip
General Characteristics 01.12.99 d060602.zip
State Distributions 01.12.99 d060603.zip
Pattern Matching 01.12.99 d060604.zip
Investigating Proximities 01.12.99 d0607.zip
Sequence Proximity Measures 01.12.99 d060702.zip
Optimal Matching 01.12.99 d06070201.zip
The seqm Command 01.12.99 d06070202.zip
Examples 01.12.99 d06070203.zip
Consecutive indel Operations 01.12.99 d06070204.zip
Data-based Substitution Costs 01.12.99 d06070205.zip
Working with Large Samples 01.12.99 d06070206.zip
Comparing Parallel Sequences 01.12.99 d06070207.zip
Least Squares Regression 01.12.99 d0609.zip
The lsreg Command 01.12.99 d060901.zip
Residuals 01.12.99 d06090101.zip
Constraints 01.12.99 d06090102.zip
Dummy Variables 01.12.99 d06090103.zip
Regression with Censored Data 01.12.99 d060902.zip
Alternative Regression Methods 01.12.99 d0610.zip
L1-norm Regression 01.12.99 d061001.zip
Nonparametric Regression 01.12.99 d061002.zip
Maximum Likelihood Estimation 01.12.99 d0611.zip
Introduction 01.12.99 d061101.zip
The fml Command 01.12.99 d061102.zip
Quantal Response Models 01.12.99 d0612.zip
The qreg Command 01.12.99 d061201.zip
Binary Logit and Probit 01.12.99 d061202.zip
Grouped Data 01.12.99 d06120201.zip
Ordinal Logit and Probit 01.12.99 d061203.zip
Multinomial Logit 01.12.99 d061204.zip
Multivariate Probit 01.12.99 d061205.zip
Models for Count Data 01.12.99 d0614.zip
Poisson Regression 01.12.99 d061401.zip
Compound Poisson Models 01.12.99 d061402.zip
Generalized Linear Models 14.02.05 d0615.zip
Estimation Approach 14.02.05 d061501.zip
The glm command 14.02.05 d061502.zip
Normal distribution 14.02.05 d06150201.zip
Binomial distribution 14.02.05 d06150202.zip
Poisson distribution 14.02.05 d06150203.zip
Gamma distribution 14.02.05 d06150204.zip
Inverse gaussian distribution 14.02.05 d06150205.zip
Nonlinear Regression 01.12.99 d0616.zip
The freg Command 01.12.99 d061601.zip
Transition Rate Models 01.12.99 d0617.zip
Introduction 01.12.99 d061701.zip
Parametric Models 01.12.99 d06170101.zip
Estimation 01.12.99 d06170102.zip
Time-varying Covariates 01.12.99 d06170103.zip
The rate Command 01.12.99 d06170104.zip
Relative Risks 01.12.99 d06170105.zip
Generalized Residuals 01.12.99 d06170106.zip
Exponential Models 01.12.99 d061702.zip
Basic Exponential Model 01.12.99 d06170201.zip
Models with Time Periods 01.12.99 d06170202.zip
Period-specific Effects 01.12.99 d06170203.zip
Parametric Duration Dependence 01.12.99 d061703.zip
Polynomial Rates 01.12.99 d06170301.zip
Gompertz-Makeham Models 01.12.99 d06170302.zip
Weibull Models 01.12.99 d06170303.zip
Sickle Models 01.12.99 d06170304.zip
Log-logistic Models 01.12.99 d06170305.zip
Log-normal Models 01.12.99 d06170306.zip
Generalized Gamma Models 01.12.99 d06170307.zip
Inverse Gaussian Models 01.12.99 d06170308.zip
Mixture Models 01.12.99 d061704.zip
Gamma Mixture Models 01.12.99 d06170401.zip
User-defined Models 01.12.99 d061705.zip
The frml Command 01.12.99 d06170501.zip
The Hernes Model 01.12.99 d06170502.zip
The Coale-McNeil Model 01.12.99 d06170503.zip
Models with Several Domains 01.12.99 d06170504.zip
Discrete Time Rate Models 01.12.99 d061706.zip
Introduction 01.12.99 d06170601.zip
Logistic Regression Models 01.12.99 d06170602.zip
Complementary log-log Models 01.12.99 d06170603.zip
Semi-parametric Rate models 01.12.99 d061707.zip
Partial Likelihood 01.12.99 d06170701.zip
Time-dependent Covariates 01.12.99 d06170702.zip
Episode Splitting 01.12.99 d06170703.zip
Proportionality Assumption 01.12.99 d06170704.zip
Stratification 01.12.99 d06170705.zip
Baseline Rate 01.12.99 d06170706.zip
Regression Models for Events 01.12.99 d0618.zip
A simple Modeling Approach 01.12.99 d061801.zip
Investigating Events 01.12.99 d061802.zip
Data Generation 01.12.99 d061803.zip
Loglinear Models 01.12.99 d0619.zip
Contingency Tables 01.12.99 d061901.zip
Loglinear Models 01.12.99 d061902.zip
Relational Data 01.12.99 d07.zip
Introduction and Overview 01.12.99 d0701.zip
General Graph Algorithms 01.12.99 d0702.zip
Direct Links 01.12.99 d070201.zip
Degree of Nodes 01.12.99 d07020101.zip
Direct Links 01.12.99 d07020102.zip
Partial Orders 01.12.99 d070202.zip
Topological Sorting 01.12.99 d07020201.zip
Connectivity 01.12.99 d070203.zip
Connected Components 01.12.99 d07020301.zip
Reachable Nodes in Directed Graphs 01.12.99 d07020302.zip
Cut Nodes and Blocks 01.12.99 d07020303.zip
Paths 01.12.99 d070204.zip
Enumeration of Paths 01.12.99 d07020401.zip
All Shortest Paths 01.12.99 d07020402.zip
Transitive Closure 01.12.99 d07020403.zip
Spanning Trees 01.12.99 d070205.zip
Depth-first Spanning Trees 01.12.99 d07020501.zip
Minimum Spanning Trees 01.12.99 d07020502.zip
Enumeration of Spanning Trees 01.12.99 d07020503.zip
Cycles 01.12.99 d070206.zip
Fundamental Set of Cycles 01.12.99 d07020601.zip
Enumeration of Cycles 01.12.99 d07020602.zip
Eigenvalues and Eigenvectors 01.12.99 d070207.zip
Flows 01.12.99 d070208.zip
Maximal Flows 01.12.99 d07020801.zip
Subgroups 01.12.99 d070209.zip
Cliques 01.12.99 d07020901.zip
Compact Sets 01.12.99 d07020902.zip
Independent Sets 01.12.99 d07020903.zip
Combinatorial Optimization 01.12.99 d0703.zip
Assignment Problems 01.12.99 d070301.zip
Column Permutations 01.12.99 d07030101.zip
Quadratic Assignment 01.12.99 d07030102.zip
Representation of Proximities 01.12.99 d0704.zip
Spectrum-based Projections 01.12.99 d070402.zip
Projection of Proximities 01.12.99 d07040201.zip
Spectrum-based Configurations 01.12.99 d07040202.zip
Comparing Configurations 01.12.99 d070404.zip
Procrustes Rotation 01.12.99 d07040401.zip
Tree Representations 01.12.99 d070405.zip
Hierarchical Trees 01.12.99 d07040501.zip
Clustering Procedures 01.12.99 d0705.zip
Hierarchical Agglomerative Clustering 01.12.99 d070501.zip
SAHN Algorithms 01.12.99 d07050101.zip
Nearest-Neighbor Clustering 01.12.99 d07050102.zip
Hierarchical divisive Clustering 01.12.99 d070502.zip
Maximal Different Cluster Centers 01.12.99 d07050201.zip
Partition with Minimal Diameter 01.12.99 d07050202.zip
Non-Hierarchical Clustering 01.12.99 d070503.zip
The Bond Energy Approach 01.12.99 d07050301.zip
Social Network Analysis 01.12.99 d0706.zip
Characterizing Nodes 01.12.99 d070601.zip
Direct and Indirect Control 01.12.99 d07060101.zip
Integrated Ownership 01.12.99 d07060102.zip
Measures of Flow Control 01.12.99 d07060103.zip
Structural Similarity 01.12.99 d070602.zip
Set-valued Data 01.12.99 d08.zip
Introduction and Overview 01.12.99 d0801.zip
Interval Expressions 01.12.99 d0802.zip
Definition of Interval Expressions 01.12.99 d080201.zip
Evaluation of Interval Expressions 01.12.99 d080202.zip
Functions with Interval Arguments 01.12.99 d0803.zip
Definition of Interval Functions 01.12.99 d080301.zip
Evaluation of Inclusion Functions 01.12.99 d080302.zip
Range of Interval Functions 01.12.99 d0804.zip
The gmin Command 01.12.99 d080401.zip
The range Command 01.12.99 d080402.zip
Distribution Functions 01.12.99 d0805.zip
Set-valued Discrete Variables 01.12.99 d080501.zip
Interval-valued Variables 01.12.99 d080502.zip
Descriptive Statistics 01.12.99 d0806.zip
Mean Values 01.12.99 d080601.zip
Variances 01.12.99 d080602.zip
References 01.12.99 dref.zip
Index 01.12.99 didx.zip