GEISS Music Visualization 6,512x Free, for Windows Screenshot of Soundstream. P value) from multiple t test analysis.Screenshot of GEISS Music Visualization. Automatically generate volcano plot (difference vs. The new version is available for Windows, Mac OS X and Linux from the Downloads page. SocNetV version 2.4, released on Feb 28, is a major upgrade bringing lots of new features.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.
![]() Visualizer Mac OS X AndGreenhouse-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. 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. 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. ![]() Global nonlinear regression – share parameters between data sets. Enter different equations for different data sets. Enter differential or implicit equations. 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. Survey removercom downloadReport the covariance matrix or set of dependencies. 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). 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. Fit straight lines to two data sets and determine the intersection point and both slopes. 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. 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. Compare slopes and intercepts of two or more regression lines. Calculate and graph residuals in four different ways (including QQ plot). Test for departure from linearity with a runs test. Force the regression line through a specified point. Logistic regression (when Y is binary yes/no, pass/fail, etc.). Poisson regression (when Y is counts 0, 1, 2, …). Multiple linear regression (when Y is continuous). Generate models relating multiple independent variables to a single dependent variable using the new multiple variables data table. Pearson or Spearman (nonparametric) correlation. Subtract baseline (and combine columns). Area under the curve, with confidence interval. Plot functions from equations you select or enter and parameter values you choose. Repeat analyses of simulated data as a Monte-Carlo analysis. Simulate XY, Column or Contingency tables. Deming regression (type ll linear regression).
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