Runs or replicates test of adequacy of model. Quantify symmetry of imprecision with Hougaard’s skewness. Confidence intervals can be symmetrical (as is traditional) or asymmetrical (which is more accurate). Quantify precision of fits with SE or CI of parameters. Global nonlinear regression – share parameters between data sets.Īutomatic outlier identification or elimination.Ĭompare models using extra sum-of-squares F test or AICc.ĭifferentially weight points by several methods and assess how well your weighting method worked.Īccept automatic initial estimated values or enter your own.Īutomatically graph curve over specified range of X values. Now including family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth and then decay).Įnter differential or implicit equations.Įnter different equations for different data sets.
Compare curves with the log-rank test (including test for trend)Ĭomparison of data from nested data tables using nested t test or nested one-way ANOVA (using mixed effects model).įit one of our 105 built-in equations, or enter your own. Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).Īnalysis 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). Two-way ANOVA, even with missing values with some post tests. Calculate the relative risk and odds ratio with confidence intervals. Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn’s post test.įisher’s exact test or the chi-square 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. Reports P values and confidence intervals.Īutomatically generate volcano plot (difference vs.
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