StatPlus

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List of statistical features:

• Basic Statistics
  • Detailed descriptive statistics
  • Comparing means t-Tests, Pagurova Criterion, G-Criterion.
  • Fisher F-test.
  • One sample and two samples z-tests.
  • Correlation coefficients (Pearson, Fechner) and covariation.
  • Normality tests (incl. 1990 D'Agostino's tests).
  • Cross-tabulation.
  • Frequency tables analysis (discrete/continuous).
• Analysis of Variance (ANOVA)
  • One-way, two-ways, 3-ways analysis of variance
    With post-hoc tests - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls.
  • General Linear Models (GLM) ANOVA.
  • Within subjects ANOVA and mixed models.
• Data Classification
  • Discriminant function analysis.
• Design of Experiments (DOE).
  • Latin and greco-latin squares analysis.
• Nonparametric Statistics
  • 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).
  • Rank and percentile.
  • Chi-square test.
  • Rank correlations (Kendall Tau, Spearman R, Gamma, etc.).
  • Comparing independent samples
    Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion;Kruskal-Wallis ANOVA, Median test.
  • Comparing dependent samples
    Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's Coeff. of Concordance.
  • Cochran Q Test.
• Regression Analysis
  • Multivariate linear regression.
  • WLS regression.
  • Logistic regression.
  • Stepwise regression.
  • Polynomial regression.
  • Cox proportional-hazards regression.
• Time Series Analysis
  • Moving average.
  • Interrupted time series analysis.
  • Fourier analysis.
  • Data processing - mean removal, differencing, exponential smoothing.
• Survival Analysis
  • Cox proportional-hazards regression.
  • Probit-analysis (incl. Finney and MLS methods) with cumulation coefficient estimation.
    Used for LD50 (ED50) calculation.
• Power Analysis and Sample Size (PASS)
  • Prevalence survey sample size.
  • Binomial exact confidence interval.
  • Sample size needed to observe at least N events.
  • Sample size for a case-control study.
• Data Processing
  • Sampling (random, periodic, conditional.)
  • Random numbers generation.
  • Standardization.
  • Stack/unstack operations.
  • Matrix operations.
• Statistical Charts
  • From histogram up to box-plot.
  • Control chars - X-bar, R-chart, S-chart, P-chart, C-chart, U-chart, CUSUM-chart.

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