Force the regression line through a specified point.Calculate slope and intercept with confidence intervals.Analyze a stack of P values, using Bonferroni multiple comparisons or the FDR approach to identify "significant" findings or discoveries.Identify outliers using Grubbs or ROUT method.One sample t test or Wilcoxon test to compare the column mean (or median) with a theoretical value.Create QQ Plot as part of normality testing.Lognormality test and likelihood of sampling from normal (Gaussian) vs.Normality testing by four methods (new: Anderson-Darling).Frequency distributions (bin to histogram), including cumulative histograms.Mean or geometric mean with confidence intervals.Calculate descriptive statistics: min, max, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis.Specify variables defining axis coordinates, color, and size.Use results in downstream applications like Principal Component Regression.Automatically generated Scree Plots, Loading Plots, Biplots, and more.
Component selection via Parallel Analysis (Monte Carlo simulation), Kaiser criterion (Eigenvalue threshold), Proportion of Variance threshold, and more.Automatically generate graphs of estimated survival curves for any set of predictor variable values.
Perform semi-parametric survival analysis that allows for the inclusion of additional continuous or categorical predictor variables (covariates). Perform nonparametric survival analysis for different groups, and compare the estimated survival curves for each group with the log-rank test (including test for trend).Ĭox proportional hazards regression.
Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn's post test.When this is chosen, multiple comparison tests also do not assume sphericity. Greenhouse-Geisser correction so repeated measures one-, two-, and three-way ANOVA do not have to assume sphericity.Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.One-way ANOVA without assuming populations with equal standard deviations using Brown-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3).Ordinary or repeated measures ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s Least Significant tests.Perform many t tests at once, using False Discovery Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further.Wilcoxon test with confidence interval of median.Kolmogorov-Smirnov test to compare two groups.Nonparametric Mann-Whitney test, including confidence interval of difference of medians.Automatically generate volcano plot (difference vs.Reports P values and confidence intervals.