Download PAST 2.17 for Windows
Documentation and case studies
The PAST mailing list
Version history (since 1.00)
Data files and errata for
the book "Paleontological Data Analysis"

PAST is a free, easytouse data analysis package originally aimed at
paleontology but now also popular in many other fields.
It includes common statistical, plotting and modelling functions:
A spreadsheettype data entry form
Both interactive user interface and scripting
Graph, scatter, 3D scatter, bubble, histogram, kernel density
estimation, box, percentile, ternary, survivorship, spindle,
matrix, surface and normal probability plots
Curve fitting: Linear (ordinary least squares, Reduced Major Axis, Major Axis, robust)
with bootstrapping and permutation, DurbinWatson and BreuschPagan tests, Generalized
Linear Model including logit regression,
linlog (exponential), loglog (allometric), polynomial, logistic, von Bertalanffy, MichaelisMenten,
sumofsines, smoothing splines, LOESS smoothing, Gaussian (species packing), multiple
multivariate regression, logarithmic spirals.
F, t, permutation t, Chisquared w. permutation test, Fisher's exact, KolmogorovSmirnov,
MannWhitney, ShapiroWilk, JarqueBera, AndersonDarling,
Spearman's Rho and Kendall's Tau tests with permutation, correlation and partial
correlation, polyserial correlation, covariance, contingency tables,
oneway and twoway ANOVA, oneway ANCOVA, KruskalWallis test, sign test, Wilcoxon signed
rank test with exact test, Friedman test, FlignerKilleen test for coefficients of
variation, mixture analysis, survival analysis (KaplanMeier curves,
logrank and other tests), risk difference/risk ratio/odds ratio with tests.
Diversity indices with bootstrapping and permutation,
individual and samplebased rarefaction. Capturerecapture richness estimators.
Renyi diversity profiles, SHE analysis, beta diversity.
Abundance model fitting: Geometric, logseries, lognormal, broken
stick.
Multivariate statistics: Principal Components (with Minimal Spanning Tree,
bootstrapping etc.),
Principal Coordinates (19 distance measures), Nonmetric Multidimensional
Scaling
(19 distance measures), Detrended Correspondence Analysis, Canonical
Correspondence Analysis, Cluster
analysis (UPGMA, single linkage, Ward's method and neighbour joining,
19 distance measures, twoway clustering,
bootstrapping), kmeans clustering, seriation,
discriminant analysis, oneway MANOVA, oneway and twoway ANOSIM and NPMANOVA,
Hotelling's T2, paired Hotelling's T2, Mahalanobisdistance permutation,
Mardia's multivariate normality, Box's M, Canonical Variates Analysis,
multivariate allometry with bootstrapping, Mantel test, SIMPER,
Imbrie & Kipp factor analysis, Modern Analog Technique, twoblock Partial Least Squares.
Time series analysis: Spectral analysis (including REDFIT and multitaper) autocorrelation, crosscorrelation,
wavelet transform, shorttime Fourier transform, Walsh transform, runs test, Markov chains. Mantel
correlogram and periodogram. ARMA, BoxJenkins intervention analysis. ParksMcClellan
filtering, smoothing filters.
Point events analysis. Solar forcing model.
Geometrical analysis: Directional statistics (Rayleigh, Rao, chisquared,
Watson's U^{2}, WatsonWilliams, MardiaWatsonWheeler, circular kernel density estimation,
angular mean with CI, rose plots, circular correlation), kernel density estimation of point density,
point distribution statistics (nearest neighbour and Ripley's K), point alignment detection,
coordinate transformations (WGS84, UTM etc.), spatial autocorrelation (Moran's I),
Fourier shape analysis, elliptic Fourier
shape analysis, Hangle shape analysis, eigenshapes, landmark analysis with Bookstein and
Procrustes fitting (2D and 3D),
thinplate spline transformation grids with expansions and principal strains,
partial warps and scores, relative warps and scores, centroid size from
landmarks, size removal by Burnaby's method.
Parsimony analysis (cladistics): Exhaustive,
branchandbound and heuristic algorithms, Wagner, Fitch and Dollo characters.
Bootstrap, strict and majority rule consensus trees. Consistency and retention
indices. Three stratigraphic congruency indices with permutation tests.
Cladograms and phylograms.
Biostratigraphy with the methods of Unitary Associations,
RankingScaling (RASC), Appearence Event Ordination and Constrained
Optimization (CONOP). Confidence intervals on stratigraphic ranges.
Gridding (spatial interpolation): Moving average, thinplate spline
and kriging with three semivariogram models.
Included in the distribution are real data sets for educational
use, together with extensive documentation and case studies.
PAST has been tested under Windows XP, Vista and Windows 7.
PAST  because your data deserve it^{TM}
