Package: tdaR 0.1.0

tdaR: Transition Data Analysis

An R interface to 'TDA' 6.4, Goetz Rohwer's and Ulrich Poetter's program for transition data analysis, built into the package as a library. Its event history and transition rate models, regression, sequence, cluster, graph and spatial methods and its matrix language are available as R functions that take data frames and return R objects. The package keeps the program and its methods usable and documented, and reproduces results obtained with 'TDA'.

Authors:Goetz Rohwer [aut, cph], Ulrich Poetter [aut, cph], Jan Marvin Garbuszus [aut, cre]

tdaR_0.1.0.tar.gz
tdaR_0.1.0.zip(r-4.7-x86_64)tdaR_0.1.0.zip(r-4.7-arm64)tdaR_0.1.0.zip(r-4.6-x86_64)tdaR_0.1.0.zip(r-4.6-arm64)tdaR_0.1.0.zip(r-4.5-x86_64)
tdaR_0.1.0.tgz(r-4.6-x86_64)tdaR_0.1.0.tgz(r-4.6-arm64)tdaR_0.1.0.tgz(r-4.5-x86_64)tdaR_0.1.0.tgz(r-4.5-arm64)
tdaR_0.1.0.tar.gz(r-4.7-arm64)tdaR_0.1.0.tar.gz(r-4.7-x86_64)tdaR_0.1.0.tar.gz(r-4.6-arm64)tdaR_0.1.0.tar.gz(r-4.6-x86_64)
tdaR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tdaR/json (API)

# Install 'tdaR' in R:
install.packages('tdaR', repos = c('https://janmarvin.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/janmarvin/tda/issues

Pkgdown/docs site:https://janmarvin.github.io

On CRAN:

Conda:

3.48 score 386 exports 0 dependencies

Last updated from:95e5eea859. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK267
linux-devel-x86_64OK308
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linux-release-arm64OK288
linux-release-x86_64OK291
macos-release-arm64OK270
macos-release-x86_64OK474
macos-oldrel-arm64OK210
macos-oldrel-x86_64OK578
windows-devel-arm64OK431
windows-devel-x86_64OK377
windows-release-arm64OK410
windows-release-x86_64OK337
windows-oldrel-x86_64OK361
wasm-releaseOK147

Exports:lvltda_arcdtda_arcvtda_arcvctda_atabtda_bfctda_blocktda_blockstda_boolean_mintda_boundstda_brrtda_ccnttda_check_pstda_clpyrtda_clusterTDA_CLUSTERtda_comtda_combine_pstda_conjtda_conjointtda_constraintda_controltda_convergedtda_corrtda_covtda_coxphtda_cutreetda_cwt_normtda_dblocktda_derivetda_diagnosticstda_dipletda_dltbtda_dmatda_dmettda_dmet1tda_dpletda_dsplittda_dstattda_dumptda_eigentda_ejointda_emergetda_episodestda_eselecttda_eskiptda_esorttda_estimatestda_evalftda_evalfitda_expandTDA_FAMILIEStda_filetda_fmltda_fregtda_freqtda_freq1tda_freq2tda_frmltda_gtda_g_aggregatetda_g_backwardtda_g_centredtda_g_cliquestda_g_compacttda_g_componentstda_g_cutpointstda_g_cyclestda_g_dblockstda_g_dcyclestda_g_degreestda_g_dottda_g_edgestda_g_eigentda_g_flowtda_g_flowcontroltda_g_gcliquestda_g_independenttda_g_linkstda_g_msttda_g_neighbourhoodstda_g_nodestda_g_ownershiptda_g_pathstda_g_randomtda_g_reachabletda_g_shortesttda_g_spanningtda_g_spantreestda_g_symmetrictda_g_toposorttda_g_transitivetda_gaptda_gap_permutetda_gdetda_gdftda_gdutda_gfcftda_ghdtda_glmtda_gmintda_gprotda_gqaptda_graphtda_gtopotda_helptda_icorrtda_icovtda_iddftda_idftda_iginitda_ilsregtda_imeantda_imregtda_independencetda_ineqtda_inpregtda_integratetda_interptda_interval_wagestda_isdtda_isotonictda_ivartda_ivar1tda_ivariancetda_ivlstda_ivregtda_ivreg1tda_ivreg2tda_kmtda_l1regtda_lcnttda_locate_linetda_loglintda_lsregtda_lsreg1tda_ltbTDA_LTYtda_magtda_maptda_mattda_mcathtda_mcathvtda_mcatvtda_mceltda_mcenttda_mchtda_mcholtda_mcrosstda_mcsumtda_mcvectda_mdcenttda_mdcoltda_mdefgtda_mdiagtda_mdiagdtda_mdrowtda_mdsTDA_MDStda_mdsntda_mdsrtda_memorytda_mevtda_mevstda_mginvtda_midftda_midf1tda_midf2tda_midf3tda_minimizetda_minvdtda_minvstda_mivectda_mkmettda_mkptda_mlptda_mlp1tda_mlpitda_mlrc_designtda_mlstda_mlsetda_mlseitda_mlsei1tda_mlsitda_mmultda_mnctda_mncoltda_mnlstda_mnormtda_mnorm1tda_mnorm2tda_mnrowtda_mnumTDA_MODELStda_mparsetda_mpbltda_mpbutda_mpcoltda_mpfittda_mpinvtda_mpittda_mpit1tda_mpletda_mproctda_mprowtda_mpsymtda_mpztda_mqaptda_mqptda_mqpbtda_mqpctda_mranktda_mregtda_mrsumtda_mrvectda_mscal1tda_mscoltda_msorttda_msort1tda_msqrtdtda_msqrtitda_msrowtda_mstandtda_msvdtda_msvd1tda_mtracetda_mtransptda_mtrimtda_mwvectda_mwvec1tda_ndvartda_nisettda_nlregtda_npregtda_nvartda_outputtda_output_audittda_payloadtda_pcyctda_pdatdtda_pdatrtda_pltda_pl_arctda_pl_axestda_pl_axistda_pl_circletda_pl_contourtda_pl_curvetda_pl_curve3tda_pl_densitytda_pl_ellipsetda_pl_frametda_pl_functiontda_pl_graphtda_pl_gridtda_pl_grid_linestda_pl_histogramtda_pl_hulltda_pl_labelstda_pl_linestda_pl_lines3tda_pl_paneltda_pl_pointstda_pl_points3tda_pl_polylinetda_pl_recttda_pl_regressiontda_pl_scattertda_pl_smoothtda_pl_surface3tda_pl_texttda_pl_text3tda_plcirc3tda_pletda_plglob3tda_plot_pstda_plotcmtda_plotrtda_plotsptda_plsurf3tda_polygonstda_pstda_ps_filetda_ps_objectstda_ps3tda_ptreetda_qregTDA_QRMODELStda_quanttda_rangetda_rank_orderstda_raptda_ratetda_ratestda_rcorrtda_rcsvtda_rdtda_rdntda_read_blockstda_read_dbftda_read_dcwtda_read_e00tda_read_gshhstda_read_pstda_read_shapefiletda_read_spsstda_read_statatda_read_systda_read_tabletda_read_ucinettda_read_xlstda_recodetda_repseltda_rfittda_rmodtda_rngtda_rnormtda_rodtda_rplztda_rrdattda_rsystda_runtda_run_cftda_runiftda_sclatda_sdtda_sd_cliptda_sd_datatda_sd_enclosingtda_sd_infotda_sd_intersecttda_sd_linestda_sd_neighbourstda_sd_pl3tda_sd_pl3_linestda_sd_pl3_pointstda_sd_pl3_polygonstda_sd_plot3tda_sd_plot3_linestda_sd_plot3_polygonstda_sd_pointstda_sd_ps3tda_sd_relationstda_sd_selecttda_sd_voronoitda_sddftda_segrtda_seq_infotda_seqentda_seqevtda_seqevdtda_seqgctda_seqlgtda_seqmtda_seqmdtda_seqpdtda_seqpetda_seqpmtda_seqsdtda_seqsitda_sgatda_smatda_smdtda_spatialtda_spltda_splittda_spmodtda_state_disttda_stricttda_stringstda_submtda_survivortda_timetda_tnettda_transitionstda_triangtda_ucltda_unftda_write_datatda_write_spsstda_write_statatda_write_systda_zregtda_zreg1unzoozoo

Dependencies:

Beyond the Manual
What happens inside | Spatial data | Reading a shapefile | TDA's help | Running TDA directly | The expression language | Character data | Graphs
Rendered frombeyond-the-manual.Rmdusingknitr::rmarkdown

Last update: 2026-09-20
Started: 2026-09-20

Following the TDA User's Manual
TDA, and this package | 3 Data Structures | 3.3.3 An Example Data Set | 3.6.2 Graph Data | 3.6.5 Drawing Graphs | 3.6.6 Trees | 3.4.2 Sequence Data Types | 3.4.3 Printing Sequence Data | 3.4.5 State Indicators | 3.3.5 Joining Episode Data | 4 PostScript Plots | 4.1 Preparing the Plot Environment | 4.2 Plotting Coordinate Systems | 4.3 Combining Plot Files | 4.4.1 Polygons and Scatterplots | 4.4.3 Plotting Text | 4.4.5 Step Functions | 4.4.6 General Functions | 4.4.7 Arrows | 4.4.8 Circles, Arcs, Ellipses | 4.4.9 Convex Hull | 4.4.10 Smoothing Polygons | 4.4.11 Contour Plots | 5 Mathematical Procedures | 5.1.2 Matrices | 5.1.4.1 Elementary Matrix Commands | 5.1.4.2 Sorting and Ranking | 5.1.4.3 Standardization and Scaling | 5.1.4.4 Matrix Norms | 5.1.4.5 Inverse Matrices | 5.1.4.6 Cholesky Decomposition | 5.1.4.7 Least Squares Regression | 5.1.4.8 Linear Equations | 5.1.4.9 Linear Inequalities | 5.1.4.11 Eigenvalues and Eigenvectors | 5.1.4.12 Singular Value Decomposition | 5.1.4.13 Linear Programming | 5.1.4.14 Some Further Commands | 5.2.2 Evaluating Expressions | 5.2.4 Random Numbers | 5.2.6.6 Counting Changes | 5.2.6.7 Aggregates | 5.3.3 Evaluating Functions | 5.4.1 Commands for Numerical Integration | 5.4.2 Operators for Numerical Integration | 5.5.1 Moving Averages | 5.5.2 Running Median Smoothers | 5.5.3 Smoothing Splines | 5.6.1 The fmin Command | 6 Statistical Procedures | 6.2.1 Mean and Range of Variables | 6.2.2 Empirical Distribution Functions | 6.2.3 Quantiles | 6.2.4 Frequency Tables | 6.2.5 Aggregated Tables | 6.2.6 Covariance and Correlation | 6.2.7 Contingency Measures | 6.2.8 Scatterplots | 6.2.9 Histogram Plots | 6.2.10 Density Plots | 6.4.2 Inequality Measures | 6.4.3 Segregation Indices | 6.5.1 Life Tables | 6.5.2 Kaplan-Meier Procedure | 6.5.3 Survivor Function Quantiles | 6.5.4 Comparing Survivor Functions | 6.5.5 State Distributions | 6.6.1 Sequence Length and Gaps | 6.6.2 General Characteristics | 6.6.3 State Distributions | 6.6.4 Pattern Matching | 6.7.2.2 The seqm Command | 6.7.2.3 Examples | 6.7.2.4 Consecutive Indel Operations | 6.7.2.5 Data-based Substitution Costs | 6.9.1 The lsreg Command | 6.9.1.2 Parameter Constraints | 6.9.1.3 Dummy Variables | 6.10.1 L1-Norm Regression | 6.10.2 Nonparametric Regression | 6.11.2 The fml Command | 6.12.2 Binary Logit and Probit | 6.12.2.1 Grouped Data | 6.12.3 Ordinal Logit and Probit | 6.12.4 Multinomial Logit | 6.12.5 Multivariate Probit | 6.14.1 Poisson Regression | 6.14.2 Compound Poisson Models | 6.15.2.1 Generalized Linear Models | 6.15.2.2 Binomial Models | 6.15.2.3 Poisson Models | 6.15.2.4 Gamma Models | 6.15.2.5 Inverse Gaussian Models | 6.16.1 The freg Command | 6.17.2.1 The Basic Exponential Model | 6.17.2.2 Models with Time Periods | 6.17.2.3 Period-specific Effects | 6.17.3 Parametric Duration Dependence | 6.17.3.1 Polynomial Rates | 6.17.3.2 Gompertz-Makeham Models | 6.17.3.3 Weibull Models | 6.17.3.4 Sickle Models | 6.17.3.5 Log-logistic Models | 6.17.3.6 Log-normal Models | 6.17.3.7 Generalized Gamma Models | 6.17.3.8 Inverse Gaussian Models | 6.17.5.1 The frml Command | 6.17.5.2 The Hernes Model | 6.17.5.3 The Coale-McNeil Model | 6.17.6.2 Logistic Regression Models | 6.17.6.3 Complementary Log-Log Models | 6.17.7.1 Partial Likelihood Estimation | 6.17.7.2 Time-dependent Covariates | 6.17.7.3 Episode Splitting | 6.17.7.4 The Proportionality Assumption | 6.17.7.5 Stratification | 6.17.7.6 The Baseline Rate | 6.18.2 Investigating Events | 6.18.3 Data Generation | 6.19.1 Contingency Tables | 6.19.2 Loglinear Models | 7 Relational Data | 7.2.1.1 Degree of Nodes | 7.2.1.2 Direct Links | 7.2.2.1 Topological Sorting | 7.2.3.1 Connected Components | 7.2.3.2 Reachable Nodes in Directed Graphs | 7.2.3.3 Cut Nodes and Blocks | 7.2.4.1 Enumeration of Paths | 7.2.4.2 All Shortest Paths | 7.2.4.3 Transitive Closure | 7.2.5.1 Depth-first Spanning Trees | 7.2.5.2 Minimum Spanning Trees | 7.2.5.3 Enumeration of Spanning Trees | 7.2.6.1 Fundamental Set of Cycles | 7.2.6.2 Enumeration of Cycles in Directed Graphs | 7.2.8.1 Maximal Flows | 7.2.9.1 Cliques | 7.2.9.2 Compact Sets | 7.2.9.3 Regular Equivalence | 7.3.1.1 The Linear Assignment Problem | 7.3.1.2 The Quadratic Assignment Problem | 7.5.1.1 SAHN Algorithms | 7.5.1.2 Nearest-Neighbor Clustering | 7.5.2.1 Maximally Different Cluster Centers | 7.5.2.2 Maximally Homogeneous Clusters | 7.5.3.1 The Bond Energy Algorithm | 7.6.1.1 Direct and Indirect Control | 7.6.1.2 Control | 7.6.1.3 Measures of Flow Centrality | 8 Set-valued Data | 8.3.2 Evaluation of Inclusion Functions | 8.4.1 The gmin Command | 8.4.2 The range Command | 8.5.1 Set-valued Discrete Variables | 8.5.2 Interval-valued Variables | 8.6.1 Mean Values | 8.6.2 Variances
Rendered fromtdaR.Rmdusingknitr::rmarkdown

Last update: 2026-09-20
Started: 2026-09-20

Techniques of Event History Modeling, in R
2. Event History Data Structures | 3. Descriptive Methods | 4. Exponential Transition Rate Models | 5. Piecewise Constant Exponential Models | 6. Exponential Models with Time-dependent Covariates | 7. Parametric Models of Time-dependence | 8. Methods to Check Parametric Assumptions | 9. Semi-parametric Transition Rate Models | 10. Models with a Mixture Distribution
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Last update: 2026-09-20
Started: 2026-09-20

Readme and manuals

Help Manual

Help pageTopics
A variable's value by category, for tda_qreglvl
Draw a graphplot.tda_graph
Plot survivor curves and fitted ratesplot.tda_ltb plot.tda_ple plot.tda_rate
Draw spatial dataplot.tda_spatial
Open or close a TDA data archivetda_arcd
Print archive variablestda_arcv
Check a variable description filetda_arcvc
Context dependencies in Boolean functionstda_bfc
Boolean function minimizationtda_boolean_min
Bounds from an interval regressiontda_bounds
Balanced repeated replication designtda_brr
Inspect a raw filetda_ccnt tda_dsplit tda_dump tda_lcnt
Audit a parse against the PostScript it came fromtda_check_ps
Pyramidal clusteringtda_clpyr
Clustering from a dissimilarity matrixTDA_CLUSTER tda_cluster
Combinatorial patternstda_com
Combine several PostScript plots into one filetda_combine_ps
Conjoint analysistda_conj
Non-metric conjoint analysistda_conjoint
Build a linear parameter constrainttda_constrain
Convergence controltda_control tda_converged tda_strict
Covariance matrixtda_cov
Cut a dendrogram into groupstda_cutree
Rescale case weights the way TDA's cwt(wnorm=) doestda_cwt_norm
Declare a block structuretda_dblock
Derive variables with TDA's expression languagetda_derive
Diagnostics TDA printed during a runtda_diagnostics
Principal components, factor analysis, correspondence analysistda_dma
Convert a distance matrix into a metrictda_dmet
Distances made metrictda_dmet1
Life tables, Kaplan-Meier, and the discrete time estimatorstda_diple tda_dltb tda_dple tda_km tda_ltb tda_ple
Descriptive statisticstda_corr tda_dstat
Eigenvalues of a matrix, via TDAtda_eigen
The episode data behind a modeltda_episodes tda_state_dist
TDA's file utilitiestda_ejoin tda_emerge tda_eselect tda_eskip tda_esort
Evaluate an inclusion function over an intervaltda_evalfi
Expand an expression, or parse a matrix expressiontda_expand tda_expressions tda_mparse
Generalized linear modelsTDA_FAMILIES tda_glm
Maximum likelihood with a user-defined likelihoodtda_fml
Non-linear regression with a user-defined functiontda_freg
One- and two-way frequency tablestda_freq tda_freq1 tda_freq2
Maximum likelihood for a user-defined transition rate modeltda_frml
Run a graph commandtda_g
Graph analysestda_g_aggregate tda_g_analyses tda_g_backward tda_g_centred tda_g_cliques tda_g_compact tda_g_components tda_g_cutpoints tda_g_cycles tda_g_dblocks tda_g_dcycles tda_g_degrees tda_g_dot tda_g_edges tda_g_eigen tda_g_flow tda_g_flowcontrol tda_g_gcliques tda_g_independent tda_g_links tda_g_mst tda_g_neighbourhoods tda_g_nodes tda_g_ownership tda_g_paths tda_g_random tda_g_reachable tda_g_shortest tda_g_spanning tda_g_spantrees tda_g_symmetric tda_g_toposort tda_g_transitive
The assignment problemtda_gap
Column permutations toward graph agreementtda_gap_permute
Undirected graph from node liststda_gde
General distribution functions for censored datatda_gdf
Union of two graphstda_gdu
Forward control flows in a directed graphtda_gfcf
Hasse diagram of multivariate patternstda_ghd
Projection of proximitiestda_gpro
Quadratic assignment (GRASP)tda_gqap
A graph for TDA's graph commandstda_graph
Read a GTOPO30 elevation profiletda_gtopo
TDA's manual, and two notes about the sessiontda_help tda_memory tda_time
Covariance and correlation of interval-valued variablestda_icorr tda_icov
Distribution function of an interval-valued variabletda_iddf tda_idf
Least squares with an interval-valued responsetda_ilsreg
Statistics of an interval-valued variabletda_igini tda_imean tda_ivariance
Conditional means with interval-valued datatda_imreg
Delta-independence of two integer variablestda_independence
Inequality measurestda_ineq
Non-parametric regression with interval-valued datatda_inpreg
Integrate, minimise, and evaluate a functiontda_evalf tda_gmin tda_integrate tda_minimize tda_range
Interpolate a surface over a gridtda_interp
Artificial interval-valued wage datatda_interval_wages
Standard deviation of an interval-valued variabletda_isd
Isotonic regression, with or without tie groupstda_isotonic
Variance of an interval-valued variable (TDA's ivar)tda_ivar
Variance of an interval-valued variable (TDA's ivar1)tda_ivar1
Interval regression: a coefficient identified only up to boundstda_ivls tda_ivreg tda_ivreg1 tda_ivreg2
Least absolute deviations regressiontda_l1reg
One-dimensional multifacility locationtda_locate_line
Log-linear models of a contingency tablecoef.tda_loglin print.tda_loglin residuals.tda_loglin tda_loglin vcov.tda_loglin
Least squares regressiontda_lsreg tda_lsreg1
Aggregating a matrix by row and column groupstda_mag
Where the manual's remaining commands live in Rmanual_map tda_manual_map
Mapstda_map
Matrix operationstda_mat
Concatenating matricestda_mcath tda_mcathv tda_mcatv
Build an edge list from an adjacency-style matrixtda_mcel
Centering, standardizing, and double-centeringtda_mcent tda_mdcent tda_mstand
Check an ordering against row/column dominancetda_mch
Cross-product and an arithmetic sequence as a columntda_mcross tda_mnum
Vectorizing a matrix and its inversetda_mcvec tda_mivec tda_mrvec
Adjacency matrix of a graphtda_mdefg
Diagonal construction and extractiontda_mdiag tda_mdiagd
Multidimensional scalingTDA_MDS tda_mds
Nonmetric multidimensional scalingtda_mdsn
Axes in an MDS configurationtda_mdsr
Eigen decomposition of a general (possibly non-symmetric) matrixtda_mev
Eigen decomposition of a symmetric matrixtda_mevs
Distribution function bounds and estimate for interval-censored datatda_midf
Uniform-model CDF for interval-censored data, at each observationtda_midf1
Restricted mean for interval-censored data, at each observationtda_midf2
Average nearby endpoints for interval-censored datatda_midf3
Matrix inversiontda_mginv tda_minvd tda_minvs
Kemeny distance between rankingstda_mkmet
Kronecker producttda_mkp
Linear programmingtda_mlp tda_mlp1
0-1 linear programmingtda_mlpi
Design matrix for MLRC modelstda_mlrc_design
Constrained least squarestda_mls tda_mlse tda_mlsei tda_mlsei1 tda_mlsi tda_mnls
Matrix multiplication, transposition, Cholesky decompositiontda_mchol tda_mmul tda_mtransp
Zero out matrix elements by a threshold testtda_mnc
Matrix size and normstda_mncol tda_mnorm tda_mnorm1 tda_mnorm2 tda_mnrow tda_mtrace
Permute to block triangular formtda_mpbl tda_mpbu
Iterative proportional fittingtda_mpfit
Invert a permutationtda_mpinv
Iterate a Leslie matrixtda_mpit tda_mpit1
Product-limit (Kaplan-Meier) distribution and jumpstda_mple
Procrustes rotationtda_mproc
Permute rows for a zero-free diagonaltda_mpz
Quadratic assignment problemtda_mqap
Quadratic programmingtda_mqp tda_mqpb tda_mqpc
Monotone regressiontda_mreg
Row and column sums, as vectors or diagonal matricestda_mcsum tda_mdcol tda_mdrow tda_mrsum
Scale a matrix by its total sumtda_mscal1
Sort or rank the rows of a matrixtda_mrank tda_msort tda_msort1
Diagonal square root and its reciprocaltda_msqrtd tda_msqrti
Selecting or permuting rows and columnstda_mpcol tda_mprow tda_mpsym tda_mscol tda_msrow
Singular value decompositiontda_msvd tda_msvd1
Trim or pad a matrix's edgestda_mtrim
Weighted mean of the later elementstda_mwvec tda_mwvec1
Dummy variablestda_ndvar
Numerical-integration settingstda_niset
Non-parametric regressiontda_npreg
TDA options not exposed as named argumentstda_options
Estimates and raw outputtda_estimates tda_output
Account for every line of a run's printed outputtda_output_audit
Extract a command's result section from TDA outputtda_payload
Cycle structure of permutationstda_pcyc
Distance matrix from raw variablestda_pdatd
Print all case pairstda_pdatr
Add a command to a plotTDA_LTY tda_pl tda_pl_axes tda_pl_circle tda_pl_frame tda_pl_function tda_pl_grid tda_pl_lines tda_pl_points tda_pl_polyline tda_pl_rect tda_pl_smooth tda_pl_text tda_ps_file
Curved arcstda_pl_arc
Draw a single axis, optionally at an explicit positiontda_pl_axis
Draw a graph with explicit node positionstda_pl_graph
Further plot commandstda_pl_contour tda_pl_curve tda_pl_density tda_pl_ellipse tda_pl_grid_lines tda_pl_hist tda_pl_histogram tda_pl_labels
Start a new panel within the same sessiontda_pl_panel
Add a fitted regression curve or convex hulls to a plottda_pl_hull tda_pl_regression
Scatterplots, sunflower plots, and lowess smoothingtda_pl_scatter
Circle in a 3-d plottda_plcirc3
Globe in a 3-d plottda_plglob3
Draw TDA's PostScript output with gridtda_plot_ps
Contour plot of a matrixtda_plotcm
Grey-scale relief of a matrixtda_plotr
Akima-smoothed curve through pointstda_plotsp
Parametric surface in a 3-d plottda_plsurf3
Build polygons from line segmentstda_polygons
A TDA plottda_ps
What is inside a TDA PostScript filetda_ps_objects
Three-dimensional plotstda_pl_curve3 tda_pl_lines3 tda_pl_points3 tda_pl_surface3 tda_pl_text3 tda_ps3
Print a tree's data structuretda_ptree
Qualitative response modelstda_qreg TDA_QRMODELS
Quantiles, histograms and one-way frequency tablestda_atab tda_quant
All rank orders of a given sizetda_rank_orders
Rates in age-period formtda_rap
The estimated rate as a single tabletda_rates
Rank correlation matrixtda_rcorr
Read a CSV file through TDAtda_rcsv
Random values, as TDA's 'rd()'/'rdn()'tda_rd tda_rdn
Read a dBase (.dbf) attribute tabletda_read_dbf
Read TDA's PostScript outputtda_read_ps
Read a shapefile into a TDA spatial structuretda_read_shapefile
Read other spatial formatstda_read_dcw tda_read_e00 tda_read_gshhs tda_read_spatial
Read an SPSS data filetda_read_spss
Read a Stata filetda_read_stata
Read a TDA system filetda_read_sys
Read TDA's output filestda_blocks tda_file tda_read_blocks tda_read_table
Read a UCINET filetda_read_ucinet
Read an Excel .xls workbooktda_read_xls
Recode variables in placetda_recode
Repeat or select block casestda_repsel
Fit binary relations to a valued graphtda_rfit
Simple Rasch modeltda_rmod
TDA's random number generatortda_rng tda_rnorm tda_runif
Rank-order data utilitiestda_rod
Read a PLZ-style CSV filetda_rplz
The job-episode data from Blossfeld and Rohwertda_rrdat
Read a TDA system filetda_rsys
Run TDA commandstda_run tda_run_cf
Separable clusters of a valued graphtda_scla
Run a spatial commandtda_sd
Spatial analysestda_sd_analyses tda_sd_clip tda_sd_data tda_sd_enclosing tda_sd_info tda_sd_intersect tda_sd_lines tda_sd_neighbours tda_sd_points tda_sd_relations tda_sd_select tda_sd_voronoi
Three-dimensional spatial plotstda_sd_pl3 tda_sd_pl3_lines tda_sd_pl3_points tda_sd_pl3_polygons tda_sd_plot3 tda_sd_plot3_lines tda_sd_plot3_polygons tda_sd_ps3
Distribution function of a set-valued discrete variabletda_sddf
Segregation measures between two groupstda_segr
Information about currently defined sequence data structurestda_seq_info
Sequence characteristics, lengths, gaps and state distributionstda_seqen tda_seqgc tda_seqlg tda_seqsd tda_seqsi
Sequence analysis by optimal matchingtda_seqm
Regression models for eventstda_seqev tda_seqevd tda_seqmd
Write sequence data back outtda_seqpd
Derive a sequence data structure from episode datatda_seqpe
Sequence pattern matchingtda_seqpm
Scalogram (Guttman) analysistda_sga
Moving averagetda_sma
Robust smoothing by running medianstda_smd
Spatial data for TDA's spatial commandstda_spatial
Smoothing splinetda_spl
Split episodes at a time-varying covariatetda_split
Stationary solution of a Leslie matrixtda_spmod
String variables from a runtda_strings
Substitution-metric distance between distributionstda_subm
The survivor function as a single tabletda_survivor
Temporal-network summariestda_tnet
Transitions covered by a fittda_transitions
Triangulation of pointstda_triang
Split an ordering into contiguous clusterstda_ucl
Unfolding of preference datatda_unf
Build TDA's inputtda_block tda_nvar tda_write_data
Write a data frame to SPSS, Stata or a TDA system filetda_write_foreign tda_write_spss tda_write_stata tda_write_sys
Regression with a censored responsetda_zreg tda_zreg1
Read and write Zoo archivesunzoo zoo