Unistat Statistical Package as an Excel add-in
Many Excel users are faced with the dilemma of either analysing their data with limited Excel add-ins or switching to a powerful but inflexible statistical package. UNISTAT is a unique full power stand-alone statistical package that can also work as Excel add-in, providing the best environment for advanced data analysis, charting and reporting.
When UNISTAT detects a Microsoft Excel installation, it automatically creates an Excel add-in icon within the UNISTAT group. With this icon you can launch Excel with UNISTAT's pull-down statistics and graphics menu options directly from the Excel menu system.
After preparatory data handling in Excel, all that is necessary is to highlight the block of data to be analysed and select a UNISTAT procedure from the menu. After selecting options from UNISTAT Wizard dialogs, UNISTAT will present the output as a new Excel worksheet. All operations are performed from within the Excel user interface — no exteral applications to deal with. Moreover, when UNISTAT is run in Excel add-in mode, Word can still be selected as default output medium.
Researchers who use Excel for data handling and Word for report compilation find this feature most convenient. UNISTAT's integration with Microsoft Office makes it easy to produce beautiful tabular and graphical reports in record time.
These features are available in all versions of the UNISTAT statistical package. See our links to the left to find out more.
Index of supported procedures
UNISTAT is unique in being a comprehensive and established statistical package that can also seamlessly extend Excel's statistical capabilities. UNISTAT has probably the widest range of procedures supported in any statistical Excel add-in:
- X-Y Plots
- Polar Plot
- Spectral Plot
- Fan Grid Plot
- X-Y-Z Scatter Plot
- X-Y-Z Grid Plot
- X-Y-Z Spin Plot
- Pie Chart
- Bar Chart
- Area Chart
- Ribbon Chart
- 3D Bar Chart
- High-Low-Close Chart
- Plot of Fi(X)
- Plot of F(X,Y)
- Plot & Roots of Polynomials
- Histogram
- 3D Histogram
- Log-probability Histogram
- Normal Probability Plot
- Plot of Distribution Functions
- Box/Whisker and Dot Plots
- Ladder Plot
- X-Y Pairs Plot
- Rectangular Plot
- Icon Plots
- Summary Statistics
- Confidence Intervals
- Quantiles
- Sample Statistics
- Frequency Distributions
- Stem and Leaf Diagram
- Sequence Diagram
- Scatter Diagram
- Cumulative Probability
- Critical Value
- Probabilities and Critical Values
- Random Numbers
- Expected Frequencies
- One Sample t-Test
- Pooled Variance t-Test
- Separate Variance t-Test
- Paired t-Test
- F-Test
- Parametric Tests Matrix
- Hotelling's T2 Test
- Pearson Correlation
- Spearman Rank Correlation
- Kendall Rank Correlation
- Point Biserial Correlation
- Tetrachoric Correlation
- Pearson-Spearman-Kendall
- Partial Correlation Matrix
- One Sample Chi-square Test
- Two Sample Chi-square Test
- One Sample K-S Test: Uniform
- One Sample K-S Test: Normal
- Two Sample K-S Test
- Shapiro-Wilk Normality Test
- Unpaired Samples
- Paired Samples
- Single Proportion
- Unpaired Proportions
- Paired Proportions
- Kruskal-Wallis One-Way ANOVA
- Jonckheere's Trend
- Multisample Median Test
- Friedman Two-Way ANOVA
- Quade Two-Way ANOVA
- Kendall's Concordance Coeff
- Page's L Trend
- Cochran's Q
- Kappa Test Inter-Category
- Kappa Test Inter-Observer
- Contingency Table
- Cross-Tabulation
- Break-Down
- Matrix Statistics
- Linear Regression
- Polynomial Regression
- Stepwise Regression
- Nonlinear Regression
- Logit / Probit / Weibull
- Logistic Regression
- Multinomial Regression
- Poisson Regression
- Analysis of Variance
- General Linear Model
- Table of Means
- Homogeneity of Variance Tests
- Multiple Comparisons
- Regression with Replicates
- Heterogeneity of Regression
- One Sample
- Two Samples
- Variance
- Correlation
- Two Correlations
- Two Proportions
- ANOVA
- Phi Distribution
- Hierarchical Cluster Analysis
- K-th Neighbour Cluster Analysis
- K-Means Cluster Analysis
- Multiple Discriminant Analysis
- K-th Neighbour Discriminant
- Multidimensional Scaling
- Principal Components
- Principal Components Factoring
- Principal Axis Factoring
- Canonical Correlations
- Reliability Analysis
- ARIMA
- Brown's Exponential
- Holt's Linear
- Winter's (Additive)
- Winter's (Multiplicative)
- Dixon-Grubbs-Neumann
- Variable Control Charts
- Attribute Control Charts
- Pareto Chart
- Hotelling's T2 Chart
- Weibull Chart
- Life Table
- Kaplan-Meier Analysis
- Survival Comparison Statistics
- Cox Regression
- Fourier Transform
- Inverse Fourier Transform
- Completely Randomised Design
- Randomised Block Design
- Latin Squares Design
- Crossover Design
- Slope Ratio Method
- Quantal Response Method
- Combination of Assays