 |
 |
|||
| Sommario | ||||
 |
|
|
|
|
| Altre Informazioni | ||
|
|
|
|
|
Systat has been declared the most capable and nimble Windows statistics and analytical graphics package currently available.
Panoramica
Visualize Your Data With More Graphing Capabilities
SYSTAT® offers more scientific and technical graphing options than any other desktop statistics package. Compare subgroups, overlay charts, transform coordinates, add geographic projections , change colors, symbols and more to create insightful presentations.
Increase Your Analytical Power With More Statistics
You’ll never have to worry about finding the right statistic. Robust algorithms from leading statisticians give meaningful results even with extreme data. Fit regression models in nested, 2-level data when assumptions of independent observations are violated and the estimates from standard least squares general linear model (GLM) are suspect. Create missing value estimates using regression-based point estimation or an EM algorithm, then save the data or the triangular matrix as input to GLM, ANOVA or other models. Analyze geostatistical data with deep spatial statistics capabilities including 2-D and 3-D Variogram and Kriging. Obtain complete distributions and standard errors using SYSTAT’s bootstrapping capability implemented globally across 21 statistical procedures even when normality assumptions are violated and no model is available.
Get Meaningful Results With Less Effort
Tired of extravagant user interfaces slowing you down? Stalled by difficult programming languages? SYSTAT's intuitive Windows interface and flexible command language are designed to make your research more efficient. Easily locate advanced options through clear, comprehensive dialogs. Type commands directly into SYSTAT’s interactive command window to fly through your analyses. Quickly navigate through detailed results using the browser-style Output Organizer. Make dramatic changes in your analysis with a few keystrokes. SYSTAT’s command language is interactive, powerful and easy to learn. Write commands using plain English with minimal, forgiving syntax that’s consistent across all modules. Instantly visualize your results with SYSTAT’s Quickgraphs produced automatically by most statistical procedures to provide immediate and intuitive feedback.
Completely Automate Your Analysis
Speed up your analyses with SYSTAT’s flexible command language providing complete coverage of menu-based functionality. Quickly run the same analysis on different data using token variables in command templates. Each time you run the command file, you’ll be prompted to select a variable to replace the token. Create command files in no time! Execute functions using the menus and dialog selections while the command log tracks your steps. Simply save the command log script to re run your analysis. Track and report your statistical methodology to monitoring agencies using the command log. Create compelling reports by combining formatted statistical output with publication-quality graphs in SYSTAT’s rich text output window then automate them!
More Graphs
SYSTAT offers more graph types and options than any other desktop statistics package. Create insightful presentations with advanced chart types such as maps, multiplots and kernel densities. Speed up your analysis with SYSTAT's interactive graphic tools. Simply point-and-click to perfect your graph's appearance.
More Statistics
Whether you are looking for an all-in-one tool, or an advanced addition to your statistical library, you'll never have to worry about finding the right statistic or perfect graphic for the specific needs of your research. SYSTAT delivers over 15 years of experience in statistical algorithms written by leading statisticians.
Less Effort
Had enough of difficult programming languages or elaborate interface designs? SYSTAT's intuitive Windows® interface and flexible command language are designed to make your research more efficient. Quickly locate advanced options through clear, comprehensive dialogs. Fly through your analysis with interactive commands. Instantly visualize your results with SYSTAT's QuickGraphs.
Programma statistica
Regressione
Indice regressione
Anova analisi varianza
Test anova
Geostatistica kriging
(Le nuove caratteristiche della versione 11 sono evidenziate nel colore arancio)
Descriptive Statistics
| • | Column
|
||||||||||||||||||
| • | Row
|
Fitting Distribution
| • | Discrete – Uniform, Zipf, Geometric, Hypergeometric, Negative Binomial, Poisson, Binomial |
| • | Continuous – Triangular, Double exponential (Laplace), Cauchy, Gumbel, Gompertz, Lognormal, Pareto, Rayleigh, Inverse Gaussian, Lognormal, Uniform, Beta, Normal, Chi-square, Weibull, Exponential, Logistic, Gamma |
| • | QuickGraphs: graph of the respective observed and expected observations |
Crosstabulation and measures of association
| • | One-, two-way and multiway tables |
| • | Row and column frequencies, percents, expected values and deviates |
| • | List layouts, order categories, define intervals, including missing intervals |
| • | 2 x 2 tables: likelihood ratio chi square, Yates’, Fisher’s, odds ratio, Yule’s Q |
| • | R x R tables: McNemar’s test, Cohen’s kappa |
| • | R x C tables: unordered levels, phi, Cramer’s V, contingency coefficient, uncertainty coefficient, Goodman - Kruskal’s lambda |
| • | R x C ordered levels: rho, Goodman-Kruskal’s gamma, Kendall’s tau-b, Stuart ’s tau-c, Somers’ D |
| • | Others: Mantel-Haenszel test, Cochran test |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Correlations, distances and similarities
| • | Continuous data: Pearson correlations, Euclidean, city, Bray-Curtis, QSK |
| • | Rank order data: Spearman, gamma, mu2, tau |
| • | Binomial data: S2, S3, S4, S5, S6 |
| • | Missing data: pairwise, listwise deletion, EM |
| • | Hadi outlier detection and estimation |
| • | Probabilities: Bonferroni, Dunn-Sidak |
| • | Tetrachoric correlations |
| • | QuickGraph: scatterplot matrix |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Set and canonical correlations
| • | Whole, semi and bipartial set correlations |
| • | Rao F, R-Square, Shrunk R-Square, T-Square, Shrunk T-Square, P-Square, Shrunk P-Square Within, between and inter set correlations |
| • | Row/Column betas, standard errors, T-statistics and probabilities |
| • | Stewart-Love canonical redundancy index |
| • | Canonical coefficients, loadings and redundancies |
| • | Varimax rotation |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Missing Value Analysis
| • | EM Algorithm |
| • | Regression imputation |
| • | Save estimates, correlation, covariance, SSCP matrices |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Loglinear models
| • | Full maximum likelihood |
| • | Pearson and likelihood ratio chi-square |
| • | Expected values, lambda, SE lambda |
| • | Covariance matrix, correlation matrix |
| • | Deviates, Pearson deviates, Iikelihood deviates, Freeman Tukey deviates, log likelihood |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Linear regression
| • | Least squares
|
||||||||||||||
| • | Bayesian
|
||||||||||||||
| • | Ridge |
Robust regression
| • | Least Median of Squares (LMS) regression |
| • | Rank Regression |
Logistic regression
| • | Binary, multinomial, discrete choice and conditional |
| • | Quasi maximum likelihood |
| • | Dummy variables and interactions |
| • | Deciles of risk, quantiles and simulation |
| • | Forward, backward, automatic and interactive stepwise regression |
Probit
| • | Dummy variables and interactions |
Nonlinear regression
| • | Gauss Newton, Quasi Newton, simplex |
| • | Output: predicted values, residuals, asymtotic standard errors and correlations, confidence curves and regions |
| • | Special features: Cook-Weisberg confidence intervals, Wald intervals, Marquardting |
| • | Robust estimation: absolute, power, trim, Huber, Hampel, t, bisquare, Ramsay, Andrews, Tukey |
| • | Maximum likelihood estimation |
| • | Piecewise regression, kinetic models, logistic model for quantal response data |
| • | Exact derivatives |
| • | QuickGraph: scatterplot with fitted curve |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Two stage least squares
| • | Heteroscedasticity-consistent standard errors |
Smooth & Plot
| • | 126 non-parametric smoothers including LOESS |
| • | Windows: fixed width or nearest neighbors |
| • | Kernels: uniform, Epanechnikov, biweight, triweight, tricube, Gaussian, Cauchy |
| • | Method: median, mean, polynomial, robust, trimmed mean |
| • | Save predicted values and residuals |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Mixed Regression
| • | Hierarchical Linear Models (HLM) |
| • | Specify effects as fixed or random |
| • | Autocorrelated error structures |
| • | Nested Models (2-Level): Repeated Measures, Clustered Data |
| • | Unbalanced or balanced data |
| • | QuickGraph: Scatterplot matrix of empirical Bayes estimates |
Hypothesis Testing
| • | Mean: One-Sample z-test, Two-sample z-test, One-Sample t-test, Two-Sample t-test, Paired t-test, Poisson test with Bonferroni, Dunn-Sidak adjustments |
| • | Variance: Single Variance, Equality of Two Variances, Equality of Several Variances |
| • | Correlation: Zero Correlation, Specific Correlation, Equality of Two Correlations |
| • | Proportion: Single Proportion, Equality of Two Proportions |
| • | Appropriate QuickGraphs |
| • | Resampling – Bootstrap, without replacement, Jackknife |
ANOVA
| • | One-way ANOVA: multiple tests, Bonferroni, Tukey-Kramer HSD, Scheffe, Fisher’s LSD |
| • | Two-way ANOVA: post hoc tests on least squares means (Bonferroni, Tukey, LSD, Scheffe) |
| • | Repeated measures: one-way, two or more factors, three or more factors |
| • | Designs: unbalanced, randomized block, complete block, fractional factorial, mixed model, nested, split plot, Latin square, crossover and change over, Hotelling’s T2 |
| • | ANCOVA |
| • | Means model for missing cells designs |
| • | Automatic outlier and influential point detection |
| • | QuickGraph: least squares means |
| • | Resampling – Bootstrap, without replacement, Jackknife |
General linear model
| • | Any general linear model Y = XB+e |
| • | Any general linear hypothesis ABC’ = D |
| • | Mixed categorical and continuous variables |
| • | Stepwise model building |
| • | Post-hoc tests |
| • | See also linear regression and ANOVA |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Quality Analysis
| • | Histogram, Pareto Chart, Box-and-Whisker Plot |
| • | Gauge R&R Studies |
| • | Process Capability Analysis |
| • | Sigma Measurements |
| • | Taguchi’s On-Line SPC |
| • | Signal-to-Noise Ratio Analysis of Taguchi designs |
| • | Control Charts: Run Chart, Shewart Control Chart, Average Run Length, Operating Characteristic Curve, Cumulative Sum Chart, Moving Average, Expected Weighted Moving Average, X-MR Chart, Regression Chart, TSQ, Run Tests |
Nonparametric tests
| • | Independent samples: Kruskal-Wallis, two- sample Kolmogorov-Smirnov, Mann-Whitney |
| • | Related variables; sign test, Wilcoxon signed rank test, Friedman test |
| • | One-sample: Kolmogorov-Smirnov, Wald-Wolfowitz runs test, Shapiro-Wilk normality test |
| • | Resampling – Bootstrap, without replacement, Jackknife |
MANOVA
| • | Handles wide variety of designs |
| • | Performs repeated measures analysis |
| • | Means model for missing cells designs is available |
| • | Within-group and between-group testing is now part of menus |
| • | MANCOVA |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Factor analysis
| • | Principal components, iterated principal axis, maximum likelihood |
| • | Rotation: varimax, quartimax, equimax, orthomax, oblimin |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Discriminant analysis
| • | Classical Discriminant Analysis (Linear or quadratic)
|
||||||||
| • | Robust Discriminant Analysis (Linear or quadratic) |
Cluster analysis
| • | Hierarchical
|
||||||||
| • | K-means
|
||||||||
| • | Additive trees
|
Correspondence analysis
| • | Simple and multiple |
| • | QuickGraphs: vector and casewise plots |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Classification and regression trees
| • | Loss functions: least squares, trimmed mean, LAD, phi coefficient, Gini index, twoing |
| • | QuickGraph: unique tree mobile including split statistics and color coded subgroup densities (box, dot, dit, jitter, stripe) |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Cronbach’s alpha
| • | Resampling – Bootstrap, without replacement, Jackknife |
Test item analysis
| • | Classical analysis |
| • | One and two parameter logistic model |
| • | QuickGraph: item plot |
Multidimensional scaling
| • | Two-way scaling: Kruskal, Guttman, Young |
| • | Three-way scaling: INDSCAL |
| • | Nonmetric, nonmetric unfolding |
| • | EM estimation |
| • | Power scaling for ratio data |
| • | QuickGraphs: MDS plot, Shepard diagram |
Partially Ordered Scalogram Analysis with Coordinates (POSAC)
| • | Guttman-Shye algorithm; automatic seriation |
| • | QuickGraph: item plot |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Perceptual mapping
| • | MDPREF |
| • | Preference mapping (vector, circle, ellipse) |
| • | Procrustes and canoncial rotations |
| • | QuickGraph: biplots |
Conjoint analysis
| • | Monotonic, linear, log and power |
| • | Stress and Tau loss functions |
| • | QuickGraph: utility function plot |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Time series
| • | Smoothing: LOWESS, moving average, running median, and exponential |
| • | Seasonal adjustment |
| • | Fourier and inverse Fourier transforms |
| • | Box-Jenkins ARIMA model |
| • | Specify autoregressive, difference and moving average parameters |
| • | Forecast and standard errors |
| • | Polynomially distributed lags |
| • | QuickGraphs: series plot, autocorrelation, partial autocorrelation, cross correlation, periodogram |
Spatial Statistics
| • | 2D & 3D variogram, Kriging and simulation |
| • | Variogram types: semi, covariance, correlogram, general relative, pairwise relative, semi-log, semimadogram |
| • | Semivariogram models: spherical, exponential, gaussian, power and hole effect |
| • | Kriging types: simple, ordinary, nonstationary and drift |
| • | QuickGraphs: variogram and contour plot |
| • | Resampling – Bootstrap, without replacement, Jackknife |
Signal detection analysis
| • | Models: normal, Chi-square, exponential |
| • | QuickGraph: receiver operating characteristic curve |
Survival Analysis
| • | Kaplan-Meier and actuarial life tables |
| • | Turnbull KM estimation (EM) |
| • | Cumulative hazards and log cum hazard s |
| • | Cox regression, parametric models: exponential, accelerated exponential, Weibull, accelerated Weibull, lognormal, logistic |
| • | Type I, II and III censoring |
| • | Stratification, time dependent covariates |
| • | Forward, backward, automatic and interactive stepwise regression |
| • | QuickGraphs: survival, quantile, reliability and hazard |
Path analysis (RAMONA)
| • | Analyze covariance or correlation matrices |
| • | MWL (maximum Wishart likelihood) |
| • | GLS (generalized least squares) |
| • | OLS (ordinary least squares) |
| • | ADFG (asymptotically distribution free estimate biased, Gramian) |
| • | ADFU (unbiased) |
Monte Carlo
| • | Random Sampling from a list of 33 distributions (univariate discrete, univariate continuous and multivariate) with given parameters |
| • | IID Monte Carlo consists of two generic algorithms, viz., Rejection Sampling and Adaptive Rejection Sampling (ARS) |
| • | Markov Chain Monte Carlo (MCMC) algorithms: Metropolis-Hastings (M-H) algorithm and the Gibbs sampling algorithm |
| • | Monte Carlo Integration |
Probability Calculator
| • | Computes probability density function, cumulative distribution function, inverse cumulative distribution function, and upper-tail probabilities for a wide variety of univariate discrete and continuous probability distributions |
| • | QuickGraphs: graph of the probability density function and the cumulative distribution function for continuous distributions |
Design of experiments
| • | Choose between Classic and Advanced DOE with dynamic wizard |
| • | Central composite designs |
| • | Optimal Designs |
| • | Complete and incomplete factorial designs |
| • | Latin square designs, 3-12 levels per factor |
| • | Box and Hunter 2-level incomplete designs |
| • | Taguchi designs |
| • | Plackett and Burman designs |
| • | Box and Behnken designs |
| • | Mixture: lattice, centroid, axial, screening |
Power Analysis
| • | Determine sample size to achieve a specified power |
| • | Determine power for a single sample size or a range of sample sizes |
| • | Proportions, correlations, t-tests, z-tests, ANOVA (one-way, two-way), generic designs |
| • | Conforms to the Hypothesis tests on means and their various options |
| • | Previously only for two-sided alternatives, now for one-sided alternatives also |
| • | QuickGraph: power curve |
(Le nuove caratteristiche della versione 11 sono evidenziate nel colore arancio)
General
| • | Systat 11 now makes use of Microsoft’s 16M color palette |
| • | New interactive Graph Editor |
| • | Displaying Each Individual Element Name (e.g. Line Plot, Histogram, X-axis Legend etc.) on moving the Mouse over the Editor |
| • | Interactive Aesthetic change (Line style, Fill Style Font & Color) of each element while editing by clicking Right Button of mouse |
| • | Editing Text by double clicking on the text elements |
| • | Interactive changing of coordinate system |
| • | Interactive Axis settings and showing or hiding of Grid Lines |
| • | Different formats for legends and changing the formats from graph editor |
| • | Changing Axis variable to produce another graph from the graph editor |
| • | Automatic and Mouse Interactive animation for three dimensional graphs |
| • | New added saving formats for graph Image GIF, TIFF, PS, PNG |
| • | A whole new Zoom In & Out feature with selection Zoom and Zooming individual axis and moving in the graph by holding and dragging the graph using mouse |
| • | Newly added Annotation Objects: Ploy Line and Arrow |
| • | Setting Error Bar Parameters from Graph editor and also Anchor Bars |
| • | Changing gradient in surface plots |
| • | Overlay an unlimited number of graphs |
| • | Automatically plot and color subgroups side-by-side or overlaid |
| • | Page view, drawing objects and annotations |
| • | Point-and-click editing for graph location, scale, axis labels, titles, colors, symbols, and more |
| • | Save charts to BMP, EPS, EMF, JPG, PICT, WMF and CGM |
| • | Graph Gallery for automatic graph creation |
Interactive EDA
| • | QuickGraphs automatically graph results |
| • | Dynamic Explorer: 3-D rotation, power and log transformations, confidence intervals, smoothing parameter, bars on bar chart |
| • | Select cases with lasso across all charts and in data editor |
Bar, dot, line, pie, profile and pyramid charts
| • | Plot Medians instead of mean for Bar, Dot, Line, Profile and Pyramid graphs |
| • | Bar: 2-D, 3-D, stacked, error bars, repeated measures, percent, polar, mirror, mosaic |
| • | Dot: 2-D, 3-D, line connected, error bars, repeated measures, percent, polar, mirror |
| • | Line: 2-D, 3-D, errors, rep measures, %, mirror |
| • | Pie: 2-D, 3-D, concentric rings, offset slice |
| • | Profile: 2-D, 3-D, stacked, rep measures, %, mirror |
| • | Pyramid: 2-D, 3-D, rep measures, %, mirror |
Histograms, box and density plots
| 2-D displays | |
| • | Box Plot: box and whisker, notched, dot/box |
| • | Dot/Densities: dit, symmetric dit (dot), jitter, fuzzy and stripe |
| 2-D/3-D displays | |
| • | Histogram: counts, cumulative counts, control bars/widths |
| • | Normal and Kernel densities |
| • | Contour and mosaic plots |
| • | Data driven or specified intervals |
| • | Pseudo 3-D displays, mirror plots |
Scatterplots and scatterplot matrices
| • | Repeated measures |
| • | Smoothers (2-D/3-D): linear, quadratic, DWLS, step, nexpo, inverse, Andrews, bisquare, Huber, Kriging |
| • | Smoother residuals and tension parameter |
| • | Line connected, mini spanning tree, traveling salesman path, Voronoi tessellation, Delaunay triangles, vectors, spikes |
| • | Size points by influence, sunflower symbols |
| • | Spherical/Polar and triangular coordinates |
Other 2-D plot and SPLOM options
| • | Smoothers: log, power, LOWESS, spline, mean, median, mode, midrange, trimmed mean |
| • | Confidence interval contours: Bivariate ellipsoid, bivariate centroid CI, regression line CI, kernel density |
| • | Display univariate densities on borders: histogram, box, box/dot, dot, dit, frequency polygon, normal, kernel, fuzzy, stripe, jitter |
| • | High-low-close plots (2-D) |
| • | Mirror plots (2-D) |
| • | Geographic projections (2-D): Gnomonic, stereo, Mercator, ortho, Lambert, Robinson, sinusoidal, Miller, Peters, fish-eye |
Quantile and probability plots
| • | See 2-D scatterplot options above |
| • | 28 theoretical densities |
Maps
| • | Present statistical data on maps |
| • | US: states, counties, metro areas, census tracts, and related demographics |
| • | World: continents, nations, West European provinces |
| • | Nine geographic projections |
| • | Import Arc View map and data files |
Additional graphs
| • | Multiplots: based on Trellis plots, multiple displays based on grouping variables for bar, dot, line, pplot, plot, profile pyramid and qplot graphs |
| • | Icon plots: Chernoff faces, Fourier blobs, histograms, profiles, thermometers, weather vanes, stars, arrows |
| • | Parallel coordinate and Andrews’ Fourier |
| • | Function plots: specify any function and new functions relating to distributions |
(Le nuove caratteristiche della versione 11 sono evidenziate nel colore arancio)
General
| • | Redesigned user interface combines the Output, Data and Graph Editor windows into a single tabbed window |
| • | Extensive use of drag-n-drop and right click mouse functionality |
| • | Faster processing speed |
| • | Customizable Main Menus and Right Mouse Button Menus |
| • | New look for all the Dialog Boxes where different sub dialog boxes (e.g. Option and other additional setting dialog boxes) comes under different tabs of a Main Dialog Box |
| • | “Utilities” and “Monte-Carlo” are new additions to the menu bar. Also, ”Statistics” menu name is changed to “Analysis” |
| • | Utilities menu contains options for Design of Experiments, Power Analysis, Probability Calculator, Matrix Computations, Basic Programming, Launching FEdit, Recording & Playing Scripts, etc. |
Data Management
| • | Import new Data Formats like StatView, Stata, Statistica, JMP, Minitab and S+ |
| • | Drag and drop, Right Click menu to ease the selection of variables in different dialog boxes |
| • | All the Dialogs input fields show range value at tool tip |
| • | Different Icons for numeric, character and date type fields in Dialog Boxes and Data View |
| • | Limited Parameter entries dialog Boxes (e.g. Graph color combo, If-Then-Let Dialog Box etc.) now come with multiple entries and entries can added or deleted by the user |
| • | Also use ASCII, Microsoft Excel™, SAS®, SPSS®, ODBC, BMDP™, dBASE® and Arc View® file formats |
| • | Save only selected cases or specified variables |
| • | Use up to 32,000 variables, unlimited cases |
| • | Sort or transpose data; merge or append files |
| • | Label and order categories |
| • | Manage missing values |
| • | Rank and standardize variables |
| • | Temporary data sets |
| • | Compute new variables: arithmetic operators, relational operators, logical operators, IF…THEN transformations, trigonometric, exponential, logarithmic, multivariate, character, date and time functions |
| • | Matrix computations - now completely menu-driven |
| • | Use BASIC control structure to manipulate data: read, select, sort, transform, print, save, and create random samples |
| • | Mersenne-Twister, a new powerful random number generator added. The older Wichman-Hill random number generator is still available in the Global Options menu |
Output Organizer™
| • | Index for easy output navigation and manipulation |
| • | Combined, formatted statistical output and graphs |
| • | Short, medium or long statistical output |
| • | Headers, footers, page setup and print preview |
| • | Save output as RTF or HTML |
Windows Application
| • | Customizable toolbars |
| • | File path settings from single dialog |
| • | Global options settings from toolbar |
| • | Extensive online help system containing 7 volume set of SYSTAT manuals: Getting Started, Statistics I, Statistics II, Statistics III, Graphics, Data, Language Reference |
| • | Statistics Glossary |
| • | New Online HTML Help with Context Sensitive Help |
Command Language
| • | Complete coverage of menu functionality |
| • | Interactive command entry speeds analysis |
| • | Command files automate repetitive tasks |
| • | Command log records session history |
| • | Create command templates with token variables |
| • | Over 500 Command files as examples |
 |
"SYSTAT is a Windows friendly statistics and analytical graphics package. It tackles real-world problems, to quote a few, it displays pollution levels and effects, explores biochemical reaction pathways, studies communication and behavior, conducts clinical trials with repeated measures, visualizes epidemiology geographically and evaluates manufacturing process efficiency. The revised version provides an environment for ridge regression & rank regression analysis. Users can also use Systat for Post-hoc tests for repeated measures and N-Tiles and Percentiles. Systat can also be used for crosstabulations." -- Top 5 Products by Scientific Computing & Instrumentation, 2004 |
 |
"SYSTAT (Base 5.01 for Windows) - with its superb graphics, high quality statistical algorithms, and reasonable price - is an excellent choice." -- PC Magazine - Editors' Choice, May 11, 1993 |
|