Quantify precision of fits with SE or CI of parameters. Automatically graph curve over specified range of X values. Accept automatic initial estimated values or enter your own. Differentially weight points by several methods and assess how well your weighting method worked. Compare models using extra sum-of-squares F test or AICc. Automatic outlier identification or elimination. Global nonlinear regression – share parameters between data sets. Enter different equations for different data sets. Enter differential or implicit equations. Now including family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth and then decay). Fit one of our 105 built-in equations, or enter your own. Comparison of data from nested data tables using nested t test or nested one-way ANOVA (using mixed effects model). 
Compare curves with the log-rank test (including test for trend).
Analysis of repeated measures data (one-, two-, and three-way) using a mixed effects model (similar to repeated measures ANOVA, but capable of handling missing data). Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third). Tukey, Newman-Keuls, Dunnett, Bonferroni, Holm-Sidak, or Fisher’s LSD multiple comparisons testing main and simple effects. Two-way ANOVA, with repeated measures in one or both factors. Two-way ANOVA, even with missing values with some post tests. Calculate the relative risk and odds ratio with confidence intervals. Fisher's exact test or the chi-square test. 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.
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