Analyse-it blog The latest news on new features and software releases.

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

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 publically 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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