Plus Bundle – a dedicated package for business and scientific data processing
The Plus Bundle was created to optimize and accelerate data processing. It includes advanced analytical modules to support analysts’ daily work, functions for summarizing scales used in surveys and calculating indicators, and a wide selection of charts tailored to specific analytical needs. The package also includes data cleaning, preparation, and formatting tools, enabling comprehensive analysis of results.
The Plus Bundle is add-on to Statistica and uses Statistica as its computational environment, providing access to a comprehensive range of analytical methods.
User benefits:
Comprehensive data analysis support
Automation and acceleration of analyses
Reliability and precision of results
Ease of use and flexibility
Key features:
Analizy
✔ Linear Regression Wizard
✔ Logistic Regression Wizard
✔ Test Wizard
✔ ROC curves
✔ Meta-analysis and meta-regression
✔ Conjoint
✔ Bootstrap
✔ Panel regression
✔ Inequality metrics
✔ Mood’s median test
✔ Moses test for extreme reactions
✔ Mann-Kendall trend test
✔ DFBETAS measures for outliers
✔ DEA (Data Envelopment Analysis)
✔ SUR (Seemingly unrelated linear regression models)
✔ Fractional regression
✔ Circles and cuboids for chi2
✔ Arellano-Bond estimator
Nonparametric Tests
✔ Conover’s variance rank test
✔ Conover-Iman test
✔ Klotz test
✔ Siegel-Tukey test
✔ Ansari-Bradley and Lepage tests
✔ Fligner-Killeen test
✔ Brunner-Munzel test
✔ Skillings-Mack ANOVA
Multivariate Analyses
✔ KMO and Bartlett’s test
✔ Horn’s test and Velicer’s MAP
✔ Sparse PCA
✔ Robust PCA
✔ Generalized PCA
✔ Linear ordering
✔ Multivariate outliers
✔ Agglomeration analysis
✔ Determining the number of clusters
✔ PROFIT
✔ PCoA
✔ Bland-Altman plot
✔ Passing-Bablok and Deming regression
✔ Mountain plot
✔ Youden plot
✔ Limits of detection by probit
Industry Analyses (Beta)
✔ Destructive measurements
✔ Process indices
Additional Methods
✔ Measures for 2×2 tables
✔ Concentration analysis
✔ Standardized effect measures
✔ Post-hoc test for Friedman ANOVA
✔ CATANOVA
✔ Risk-weighted CUSUM
✔ Configurational frequency analysis (CFA)
✔ Serial measurements
✔ Reference intervals
✔ Confidence intervals for ratios
✔ Risk profiles
✔ Multivariate normality tests
✔ Simple orthogonal regression
✔ Empirical distribution
✔ ICC
✔ Harrell’s C
✔ Odds ratio (OR) using the Gart and Fagerland-Newcombe methods
✔ Post-hoc tests without homogeneity of variance
✔ Frequency tables for multiple qualitative variables
✔ Chi-square test for aggregated data
✔ Box’s test for homogeneity of covariance
✔ Principal response curves (PRC)
✔ Quadratic discriminant analysis (QDA)
✔ Confidence intervals for quantiles
✔ Jonckheere-Terpstra test for trend
✔ Chi-square test for variance
✔ Multivariate chi-square test
✔ Equivalence tests
✔ Proportionality test
✔ Ellipses for confidence intervals
✔ Frequency for logistic regression
✔ Analysis of continuous variables with an atom
✔ Z-test for correlation
Graphs
✔ Bar chart
✔ Sequential chart
✔ Radar chart
✔ Mosaic chart
✔ Pie chart
✔ Population pyramid
✔ Neural network diagram
✔ Kohonen network diagram
✔ Diamond chart
✔ Time series baseline plot
✔ Wind rose diagram
✔ Likert chart
✔ Sensitivity plot
✔ Sunflower plot
✔ Violin plot
✔ Pyramid chart
✔ Butterfly chart
✔ Nomogram
✔ Four-quadrant mosaic plot
✔ Mosaic plot
✔ Raw data plot
✔ Biplot
✔ Plot rotation
Data Cleansing
✔ Data verification
✔ Missing data
✔ Dummy variables
✔ Fast recoding
✔ Variable transformations
✔ Value counts
✔ Multiple responses
✔ Saving to an Office file
✔ Saving graphic files
✔ Formatting a spreadsheet
Do you have questions?
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