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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.
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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.