Currently you will be able to access the following Analytical techniques in R through STATCRAFT.


  • Frequencies
  • Descriptives: Count, Minimum, Maximum, Range, Mean, Sum, Standard Deviation, Variance, Standard Error of Mean, Coefficient of Variation, Kurtosis, Skewness.
  • Group Descriptives: Mean, Maximum, Minimum, Standard Deviation, Variance, Median.
  • Charts: Bar Plot, Histogram, Scatter Plot, Pie Chart, Box Plot, Correlogram, Summary Plot.
  • Crosstabs: Count, Total, Row Proportion, Column Proportion, Table Proportion, Row Sum, Column Sum, Expected, Standardized Residuals, Adjusted Standardised Residuals, Residuals, Chi-Square Proportion, Chi-Square Statistics, Chi-Square Statistics Correlation, McNemar, Fisher.
  • t-Test: One Sample t-Test, Independent Samples t-Test, Paired Sample t-Test.
  • Correlation: Pearson, Spearman, Kendall, SPLOM
  • One Way ANOVA: Holm, Hochberg, Hommel, Bonferroni, BH, BY,  fdr, None, Tukey's HSD Plot, Bartlett Test, ANOVA plot,  Levene's test.
  • Two-Way ANOVA: Holm, Hochberg, Hommel, Bonferroni,  BH, none, BY, fdr, Tukey’s HSD, Levene’s Test, Tukey HSD plot, Residuals vs fitted plot, Normal Q-Q plot, Scale-location plot, Cook’s distance plot, Residual vs leverage plot, Cook’s distance vs leverage plot, Interaction plot.
  • Linear Regression: Stepwise: Forward, Backward, Both. Confidence Intervals, Correlation Matrix, Covariance Matrix, Dubin-Watson, VIF, Residuals vs fitted plot, Normal Q-Q plot, Scale Location plot, Cook’s Distance plot, Residuals vs Leverage plot, Cook’s distance vs Leverage.
  • Hierarchical Cluster Analysis: Distance - Euclidean, Maximum, Manhattan, Canberra, Binary, Minkowski. Method - ward.D, ward.D2, Single, Complete, Average, Mcquitty, Median, Centroid.
  • K-Means Cluster Analysis: Hartigan-Wong, Lloyd, Forgy. MacQueen.
  • Non Parametric Tests:  Kruskal-Wallis, Wilcoxon.
  • Binomial Logistic Regression: Stepwise, ANOVA, Confidence Interval, Odds Ratio, covariance matrix, correlation matrix, Variable importance, Pseudo R square, Hosmer Lemeshow Goodness of fit, Likelihood Ratio Test, Wald Test, Classification Table , Classification Rate, ROC Curve.
  • Multinomial Logistic Regression: Stepwise, ANOVA, Confidence Interval, Odds Ratio, Correlation Matrix, Variable Importance, Classification Table, Likelihood Ratio Test, Pseudo R2, Pearson chi-Square.
  • Factor Analysis:  Eigenvalues, Correlations of factor score estimates, Weights, Rotation Matrix, path diagram, Scree Plot, parallel Analysis plot, Correlation plot.
  • Decision Tree:  
    CART: Prior probabilities, Loss matrix, Split – Information / Gini, Minimum split, Minimum bucket, Complexity parameter, Maximum depth, Cross validation, Plot, Confusion matrix
  • Time Series:  *
  • Neural Network:  Normalization Method - Entropy, Softmax, Censored, Confusion Matrix.

*STATCRAFT is currently in development and Source of the above features may get omitted or changed in the final product.

* Work in Progress