UNISTAT_® Product Comparison Table

FEATURES	Light Edition	Standard Edition	Standard Edition + Bioassays Module
Data Capacity	50 x 1500	* unlimited	* unlimited
Modes of Running UNISTAT
Stand-Alone Mode
Excel Add-In Mode
Background Mode
Variable Options
Categorical Data Analysis
Multiple Dependent Variables
Creating Interaction Dummy and Lag/Lead Variables
Output Medium
UNISTAT Output Window
Output to Word
Output to Excel
Output to Web Browser
Macros
Recording Macros
Running Macros
Combining Macros
Macro Shortcut Buttons
Log File
Help
DATA PROCESSOR
Spreadsheet Functions
Information
Transpose Matrix
Column Sort
Key Sort
Matrix Sort
Recode Column
Aggregate
Range Statistics
Stack Columns
Unstack Columns
Format Columns
Select Row
Formula
Mathematical Operators and Functions
Trigonometric Functions 1
Trigonometric Functions 2
Scalar Functions
Statistical Functions
Special Functions
Data Conversion Functions
Date and Time Functions
UNISTAT Functions
Conditional Functions
Constants
DATA AND FUNCTION PLOTS
2D Plots
X-Y Plots
Data Series
Line
Symbols
Error Bars
Point Labels
Right Y-Axes
Area Enclosed
Curve Fitting
Means Plot
Polar Plot
Spectral Diagram
Fan Grid Plot
3D Plots
X-Y-Z Scatter Plot
Viewpoint
Contours
X-Y-Z Points
Planes
Surface Fitting
X-Y-Z Grid Plot
Spin Plot
Charts
Pie Chart
Bar Chart
Area Chart
Ribbon Chart
3D Bar Chart
High-Low-Close Chart
Plot of Functions
Plot of 2D Functions
Plot of 3D Functions
Plot and Roots of Polynomials
DESCRIPTIVE STATISTICS AND DISTRIBUTIONS
Descriptive Statistics
Summary Statistics
Confidence Intervals
Quantiles (Percentiles)
Sample Statistics
Frequency Distributions
Stem and Leaf Plot
Sequence Diagram
Scatter Diagram
Distribution Functions
Cumulative Probability
Critical Value
Probabilities and Critical Values
Random Numbers
Expected Frequencies
Descriptive Plots
Histogram
3D Histogram
Log-Probability Histogram
Normal Probability Plot
Plot of Distribution Functions
Box and Whisker and Dot Plots
Box and Whisker Plot
Dot Plot
Error Bar Plot
Ladder Plot
STATISTICAL TESTS CORRELATIONS AND TABLES
Parametric Tests
t- and F-Tests
One Sample t-Test
Pooled Variance t-Test
Separate Variance t-Test
Paired t-Test
F-Test
Levene's F-Test
Equivalence Test for Means
Parametric Tests Matrix
Hotelling's T-Squared Test
Correlations
Correlation Coefficients
Pearson Product Moment Correlation
Spearman's Rank Correlation
Kendall's Rank Correlation
Point Biserial Correlation
Pearson-Spearman-Kendall Correlations Matrix
Partial Correlation Matrix
Intraclass Correlation Coefficients
Goodness of Fit Tests
Chi-Square Tests
One Sample Chi-Square Test
Two Sample Chi-Square Test
Kolmogorov-Smirnov Tests
One Sample Kolmogorov-Smirnov Test: Uniform Distribution
One Sample Kolmogorov-Smirnov Test: Normal Distribution
Two Sample Kolmogorov-Smirnov Test
Normality Tests
Shapiro-Wilk Test
Kolmogorov-Smirnov Test
Cramer-von Mises Test
Anderson-Darling Test
Nonparametric Tests with One or Two Samples
Unpaired Samples
Mann-Whitney U Test
Hodges-Lehmann Estimator (Unpaired)
Wald-Wolfowitz Runs Test
Moses Extreme Reaction Test
Two Sample Median Test
Paired Samples
Wilcoxon Signed Rank Test
Hodges-Lehmann Estimator (Paired)
Sign Test
Table of Ranks
Binomial Proportion
Runs Test
Binomial Test
Noninferiority Test
Superiority Test
Equivalence Test for Binomial Proportion
Unpaired Proportions
Difference Between Unpaired Proportions
Risk Ratio
Odds Ratio and Relative Risks
Paired Proportions
Difference Between Paired Proportions
Fisher's Exact Test
McNemar Test
Odds Ratio (Paired)
Tetrachoric Correlation
Multisample Nonparametric Tests
Kruskal-Wallis One-Way ANOVA
Kruskal-Wallis ANOVA Test Results
Kruskal-Wallis ANOVA Multiple Comparisons
Jonckheere's Trend
Multisample Median Test
Multisample Median Test Results
Median Multiple Comparisons
Friedman Two-Way ANOVA
Friedman ANOVA Test Results
Friedman ANOVA Multiple Comparisons
Quade Two-Way ANOVA
Quade ANOVA Test Results
Quade ANOVA Multiple Comparisons
Kendall's Concordance Coefficient
Page's L Trend
Cochran's Q
Kappa Test for Inter-Category Variation
Kappa Test for Inter-Observer Variation
Tables
Contingency Table
Cross-Tabulation
Scores
Tables
R x C Table Statistics
Chi-square Tests
Fisher's Exact Test
Measures of Association
Cochran-Armitage Trend Test
Cohen's Kappa
2 x 2 Table Statistics
Stratified Analysis
Conditional Independence
Common Odds Ratio and Relative Risks
Homogeneity of Odds Ratio
Break-Down
Sample Size and Power Estimation
One Sample
Sample Size in Estimating the Population Mean
Sample Size in Tests Concerning the Mean
Minimum Detectable Difference for One Sample
Power of the Test for One Sample
Two Samples
Sample Size in Estimating Two Population Means
Sample Size in Tests Concerning Two Means
Minimum Detectable Difference for Two Samples
Power of the Test for Two Samples
Variance
Sample Size for Variance
Power of the Test for Variance
Correlation
Sample Size for Correlation
Power of the Test for Correlation
Two Correlations
Sample Size for Two Correlations
Power of the Test for Two Correlations
Two Proportions
Sample Size for Two Proportions
Power of the Test for Two Proportions
ANOVA
Sample Size for ANOVA
Maximum Number of Groups for ANOVA
Minimum Detectable Difference for ANOVA
Power of the Test for ANOVA
Phi Distribution
Inverse Phi Distribution
REGRESSION AND ANALYSIS OF VARIANCE
Matrix Statistics
Regression Analysis
Linear Regression
Polynomial Regression
Stepwise Regression
Nonlinear Regression
Logit / Probit / Gompit
Logistic Regression
Multinomial Regression
Poisson Regression
Box-Cox Regression
Analysis of Variance and General Linear Model
Analysis of Variance
General Linear Model
Randomised Block Designs
Repeated Measures Designs
Repeated Measures over all Factors
Repeated Measures over some Factors
Latin Squares Designs
Graeco Latin Squares Designs
Split-Plot Designs
Nested Designs
Crossover Designs
Tests for ANOVA
Table of Means
Homogeneity of Variance Tests
Multiple Comparisons
Student-Newman-Keuls
Tukey-HSD
Tukey-B
Duncan
Scheffe
Least Significant Difference (LSD)
Bonferroni (Modified LSD)
Dunnett
Regression with Replicates
Heterogeneity of Regression
MULTIVARIATE ANALYSIS
Cluster Analysis
Hierarchical Cluster Analyses
Distance Measures
Distance Matrix
Hierarchical Methods
K-th Neighbour Cluster Analysis
K-Means Cluster Analysis
Discriminant Analysis
Multiple Discriminant Analysis
Stepwise Discriminant Analysis
Linear Discriminant Analysis
Canonical Discriminant Analysis
K-th Neighbour Discriminant Analysis
Multidimensional Scaling
Classical Multidimensional Scaling
Ordinal Multidimensional Scaling
Principal Components Analysis
Factor Analysis
Factoring Methods
Rotations
Canonical Correlations
Reliability Analysis
Multivariate Plots
X-Y Matrix Plot
X-Y Rectangular Plot
Icon Plots
TIME SERIES ANALYSIS
Box-Jenkins ARIMA
Differencing Input Options
Differencing Output Options
Model Fitting
Seasonal and Nonseasonal Operators
Model Fitting Parameters
Model Output Options
Forecasting
Forecasting and Smoothing
Exponential Weights Moving Average
Brown's Exponential
Holt's Linear
Winter's Additive Seasonal
Winter's Multiplicative Seasonal
Dixon-Grubbs-Neumann
Quality Control
Operating Characteristic Curve
Variable Control Charts
R Chart
S Chart
Variance Chart
X Bar Chart
Moving Average Charts
Standard Moving Average Charts
Exponential Weights Moving Average Chart
CUSUM Chart
Table of Values
X Chart (Levey-Jennings)
Attribute Control Charts
C Chart
U Chart
Np Chart
P Chart
Pareto Chart
Hotelling's T-Squared Analysis
Weibull Analysis
Two-Parameter Maximum Likelihood Estimation
Two-Parameter OLS Estimation
Three-Parameter OLS Estimation
Process Capability Analysis
Performance
Capability Indices with Overall Standard Deviation
Capability Indices with Pooled Standard Deviation
Nonparametric Capability Indices
Capability Histogram
Data Transformation
Johnson Transformation
Box-Cox Transformation
Gauge / Gage R&R Analysis
Gage R&R Average and Range Method
Gage R&R ANOVA Method
Gage R&R Charts
Survival Analysis
Survival Analysis Variable Selection
Life Table
Kaplan-Meier Analysis
Product Limit Survival Table
Quantiles of Survival Function
Kaplan-Meier Plots
Survival Comparison Statistics
Wilcoxon Tests: Gehan (Lee Desu) Breslow
Logrank Test: Mantel-Haenszel (Peto)
Cox Regression
Fourier Analysis
Fourier Transform
Inverse Fourier Transform
ANALYSIS OF BIOASSAYS
Parallel Line Method
Normality Tests for Bioassays
Homogeneity of Variance Tests
Response Totals and Contrasts
Validity of Assay
Completely Randomised Design
Randomised Block Design
Latin Squares Design
Twin Crossover Design
Triple Crossover Design
Regression
Comparison of Slopes
Potency
Plot of Treatment Means
Slope Ratio Method
Normality Tests
Homogeneity of Variance Tests
Validity of Assay
Regression
Potency
Plot of Treatments
Quantal Response Method
Regression
Logit
Probit
Gompit
Validity of Assay
Effective Dose (or Lethal Dose)
Potency
Plot of Treatments
Combination of Assays
Homogeneity Tests
Combined Potency

* unlimited: limited only by available system memory. Modern computers can generally handle very large datasets with ease.