24-May-2012 Analyse-it Standard Edition 3.0 final beta and technical specification

In development Releases

Update 3rd October 2012

The Analyse-it Standard Edition version 3.00 is now available, see Analyse-it Standard Edition to purchase a licence or download a trial.

Original article

We’re pleased to release the final beta of the Analyse-it Standard Edition, v3.0. The beta is now publicly open to anyone as we iron out any final issues and conduct final testing before release.

To download the beta, please visit:

/support/test/beta/join.aspx

Influence plot for spotting influential and outlying points in fitting model.

Screenshot: Analyse-it fit model analysis includes an influence plot to identify points with a substantial effect on the fitted model.

Many of you have asked what statistical tests and plots are included in the new release. The full specification is shown below. In coming weeks we'll announce pricing, upgrade pricing, and award free licences to the beta testers who contributed most time and effort.

Descriptive statistics
	Mean, Median, Variance, SD, Skewness, Kurtosis Quantiles / Percentiles Frequency distribution table Contingency table Correlation coefficients – r, rs, tau
Plots
	Histogram Frequency plot Dot plot Box plot Mean error bar plot CDF plot Normal Q-Q plot Scatter plot Scatter plot matrix Leverage plot Residual plots Outlier and influence plot Difference plot Mosaic plot Grouped frequency plot Stacked frequency plot Pie frequency plot
Hypothesis tests
	Location
		Z Student t Welch t Wilcoxon Wilcoxon-Mann-Whitney Sign ANOVA Welch ANOVA Kruskal-Wallis
	Dispersion
		X² Fisher F Bartlett Levene Brown-Forsythe
	Normality
		Shapiro-Wilk Anderson-Darling Kolmogorov-Smirnov
	Association
		Kendall test Spearman test Pearson test
	Proportions
		Binomial exact McNemar exact Fisher exact Score Z Pearson X² Likelihood ratio G²
Estimators
	Location
		Mean Median Hodges-Lehmann pseudo-median t-based confidence interval for mean Z-based confidence interval for mean Thompson-Savur confidence interval for median Tukey confidence interval for Hodges-Lehmann pseudo-median Mean difference t-based confidence interval for mean difference Z-based confidence interval for mean difference Welch-Satterthwaite t-based confidence interval for mean difference Hodges-Lehmann location shift Tukey confidence interval for Hodges-Lehmann location shift Tukey-Kramer confidence interval for mean difference Dunnett confidence interval for mean difference
	Dispersion
		Variance X²-based confidence interval for variance Variance ratio F-based confidence interval for variance ratio
	Proportions
		Proportion Odds Clopper-Pearson exact confidence interval for proportion / odds Wilson score confidence interval for proportion / odds Proportion difference (risk difference) Proportion ratio (risk ratio) Odds ratio Miettinen-Nurminen score confidence interval for proportion difference / proportion ratio / odds-ratio Newcombe score confidence interval for proportion difference Conditional exact confidence interval for odds ratio
	Correlation
		Pearson r Fisher Z confidence interval for Pearson r Spearman rs Kendall tau Samara-Randles confidence interval for Kendall tau
Regression and model fitting
	Linear regression Polynomial 2nd to 6th order Logarithmic regression Exponential regression Power regression Multiple linear regression Binary logistic regression Advanced multiple linear and logistic regression models with simple, crossed, polynomial and factorial terms, with categorical explanatory variables coded as dummy variables

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