SPSSAU algorithm includes conventional statistical function, regression analysis and prediction, analysis of variance function, nonparametric function, multivariate statistical function and other algorithm functions. ?

SPSSAU contains six algorithms to help data science research. SPSSAU algorithm includes general research algorithm, data processing function, questionnaire research algorithm, advanced algorithm, visualization research algorithm and medical experiment research.

Products and services:

General statistical functions: descriptive frequency statistics, cross-classification summary, correlation analysis (Pearson, Spearman and Kendall sets), linear regression, single sample t-test, independent sample t-test, paired t-test, normality test (Kolmogorov-smirnoff and Chaperau-wilk test). ?

Regression analysis and prediction: linear OLS regression (including stepwise regression and stratified regression), Logistic regression (including binary and multi-classification logistic), Probit regression, Poisson regression, Cox regression, robust regression, ridge regression, curve regression (quadratic, exponential and S curve fitting) and PLS regression model.

Variance analysis function: homogeneity test of variance, one-way ANOVA, two-way ANOVA, three-way ANOVA, multi-way ANOVA, covariance analysis, mean comparison analysis and multiple comparison afterwards. ?