# 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 | |||

Developer SDK | |||

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 | |||

Plot of Distribution Functions | |||

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 |
|||

Box-Whisker, Dot and Bar Plots | |||

Box and Whisker Plot | |||

Dot Plot | |||

Error Bar Plot | |||

Normal Probability Plot | |||

Histogram | |||

3D Histogram | |||

Bland-Altman 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 | |||

Meta Analysis |
|||

REGRESSION AND ANALYSIS OF VARIANCE | |||

Matrix Statistics |
|||

Regression Analysis |
|||

Linear Regression | |||

Polynomial Regression | |||

Stepwise Regression | |||

Nonlinear Regression | |||

Logit / Probit / Gompit / Loglog | |||

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 | |||

Loglog | |||

Validity of Assay | |||

Effective Dose (or Lethal Dose) | |||

Potency | |||

Plot of Treatments | |||

Four-Parameter Logistic Regression |
|||

Full Model | |||

Effective Dose | |||

Predictions with Confidence and Prediction Intervals | |||

Measures of Variability | |||

Equivalence Tests | |||

Outlier Plot | |||

Homogeneity of Variance Plot | |||

Dose-Response Plot | |||

Reduced Model | |||

Parallelism Tests | |||

Potency | |||

Dose-Response Plot | |||

Combination of Assays |
|||

Homogeneity Tests | |||

Combined Potency |

*unlimited*: limited only by available system memory.