Wizard - Statistics & Analysis
软件描述
Wizard is a new Mac app that makes data analysis easier than ever. No programming, no typing — just click and explore. Wizard makes statistics accessible to beginners, but beneath the surface lies a full set of tools for doing professional research.
官方网站
访问软件的官方网站了解更多信息
www.wizardmac.com
什么是 Wizard - Statistics & Analysis?
Wizard is a new Mac app that makes data analysis easier than ever. No programming, no typing — just click and explore. Wizard makes statistics accessible to beginners, but beneath the surface lies a full set of tools for doing professional research. QUICK VISUALIZATIONS EASY STATISTICAL MODELING MAC FRIENDLINESS DATA TRANSFORMATIONS EXPORT EXCELLENCE Export colorful graphics as web-friendly PNG or print-quality PDF. If you're surrounded by PC users, export your models as interactive spreadsheets that can be used to run "What if?" scenarios in any version of Microsoft Excel. LIST OF STATISTICAL TESTS Univariate Tests
Shapiro-Wilk test of normality 1-sample Kolmogorov-Smirnov (normality and uniformity) Pearson's goodness-of-fit (equal proportions)
Bivariate Tests
Pearson's goodness-of-fit (chi-square) t-test (paired and unpaired) ANOVA (1-way, 2-way, and repeated measures) Correlation and R² Median tests: Mann-Whitney and Kruskal-Wallis NEW: Wilcoxon signed-rank and Friedman tests Survival analysis: Log-rank test 2-sample and N-sample Kolmogorov-Smirnov
Multivariate Models
Linear regression (OLS) Weighted linear regression (WLS) Poisson and geometric regression Logistic regression (Logit) and Probit Multinomial Logit and Ordered Probit Negative Binomial (NegBin-2) Cox Proportional Hazards
Regression Features
Fixed effects Robust standard errors Clustered standard errors Joint significance tests (Wald tests) Odds ratios Residual analysis Sensitivity/specificity analysis (ROC curves) Censoring of survival data (Cox models) Interactive prediction assistant Copy models as R code
LIST OF FILE FORMATS AND DATABASES File Formats • Excel (.xls/.xlsx) • Numbers ('09 and later) • R workspace and single-object files (.RData and .rds) • JSON • SQLite • DBF and Microsoft Access • Plain text (Comma-, tab-, and custom-delimited values) Database Servers • MySQL • PostgreSQL