UNISTAT® Product Comparison Table
FEATURES | Light Edition | Standard Edition | Standard Edition + Bioassays Module |
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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 | |||
Outlier Tests | |||
Dixon | |||
Grubbs | |||
ESD Generalised Extreme Studentised Deviate | |||
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 | |||
Neumann Trend Test | |||
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 | |||
Validity of Data | |||
Summary Statistics | |||
Normality Tests | |||
Homogeneity of Variance Tests | |||
Outlier Tests | |||
Box-Whisker, Dot and Bar Plots | |||
Normality Plots | |||
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 | |||
Validity of Data | |||
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 | |||
4PL EP | |||
Full Model USP | |||
Effective Dose | |||
Predictions with Confidence and Prediction Intervals | |||
Measures of Variability | |||
Equivalence Tests | |||
Outlier Plot | |||
Homogeneity of Variance Plot | |||
Dose-Response Plot | |||
Reduced Model USP | |||
Parallelism Tests | |||
Potency | |||
Dose-Response Plot | |||
Combination of Assays | |||
Homogeneity Tests | |||
Combined Potency EP | |||
Combined Potency USP | |||
Plot of Potencies | |||
Specific Assays | |||
Cylinder-Plate 5+1 Assay |