Click to open in English     閉じる

StatPlus:mac LE

StatPlus:mac LEを使ってみましょう – AnalystSoftが開発したStatPlus:mac Proの無償版です。Macをお使いで、Excel 2011-2021 for Macか、あるいはExcel 2004/2008 for Macを分析や統計業務にご利用されている方は、まずこのStatPlus:mac: LEをお試しください。Excelを使い続けながら、強力な統計ツールを無料で、しかも今なら一連の新機能付きで、ご利用いただけます。

お客様がご利用中のツールセットから移行するエキスパートユーザーでなく、このソフトウェアを始めてご利用になる方だとしても、StatPlus:mac LEの幅広いツール群を利用して簡単に作業環境を構築していただけます。このアプリケーションは無料にもかかわらず、有料の専用ツールでしか得られない結果の一貫性や正確性、信頼性、数多くのデータ分析モデルとツール、多様なデータタイプ、グラフ、表などをご利用いただけます。


Analysis Toolpak for Mac

このアドオンは、Microsoft Analysis Toolpak in Excel 2004–2021 for Macから入れ替えて使うことができます。Analysis ToolpakからStatPlus:macへの詳しい移行ガイドが付属してあり、使い慣れたExcelのインタフェースをそのままご利用できます。StatPlus:mac LEは、Excel 2021およびExcel 2004-2019と共にご利用いただけ、マイクロソフトのAnalysis Toolpakモジュールからの乗り換えとしてマイクロソフトが推奨しています。

フリー ダウンロード

Upgrade to Pro

StatPlus:mac Pro allows Microsoft Excel for Mac users to perform all forms of data analysis from the very basics to complex analysis, including as non-parametric and regression analysis, survival analysis, and a wide variety of other methods. Pro users are entitled to receive unlimited priority support during one year (and even on weekends).

Compare Features or Upgrade To PRO

Register For More Benefits

Register now with no obligation and learn more! As a registered customer you will be able to access to latest versions of StatPlus:mac LE and documentation, get basic support and even win free upgrade to Pro version.

Register Now

Free For Your Project

StatPlus:mac LE is free of charge with no hidden catch - there are no ads, time limits or variable/cases count limits. Should you have any questions, please feel free to contact our Support Team.

Standard Solution

すでに世界中の大学、科学センター、公共機関、研究所が、統計の標準ツールとしてStatPlus:macを選択され、このソフトウェアの多用途性、信頼性、高速性、一般的なMicrosoft Office環境との互換性によるメリットを享受されています。


StatPlus:mac requires macOS 10.7-12 (Supports Monterey and Apple M1). StatPlus:mac supports Microsoft Excel for Mac (supported versions: 2004, 2008, 2011, 2016, 2019, 2021) and Apple Numbers as a data source. StatPlus:mac does not require Internet connection (except for optional auto-update feature).


Looking For More?

Upgrade now to Pro version and get over 70 features and multi-platform compatibility. StatPlus:mac is most affordable solution for data analysis on Mac with Excel. You will benefit from the reduced learning curve and attractive pricing while enjoying the benefits of precise routines and calculations. Mac/PC license is permanent, there is no renewal charges.


Free or Premium? Features Comparison — StatPlus:mac Pro vs. LE

  • Only in StatPlus:mac Pro.
  • Available in free LE version.

  • Pro Features
    • Standalone spreadsheet with Excel (XLS and XLSX), OpenOffice/LibreOffce Calc (ODS) and text documents support.
    • 'Add-in' mode for Excel 2004, 2008, 2011, 2016, 2019 and 2021.
    • 'Add-in' mode for Apple Numbers.
    • Priority support.
    • Permanent license and free major upgrades during the maintenance period.
    • Access to Windows version.
    • Options to emulate Excel Analysis ToolPak results and migration guide for users switching from Analysis ToolPak.
  • Basic Statistics
    • Detailed descriptive statistics.
    • One-sample t-test.
    • Two-sample t-test.
    • Two-sample t-test for summarized data.
    • Fisher F-test.
    • One-sample and two-sample z-tests.
    • Correlation analysis and covariance.
    • Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).
    • Cross-tabulation and Chi-square.
    • Frequency tables analysis (for discrete and continuous variables).
    • Multiple definitions for computing quantile statistics.
  • Analysis of Variance (ANOVA)
    • One-way and two-way ANOVA (with and without replications).
    • Three-way analysis of variance.
    • Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett.
    • General Linear Models (GLM) ANOVA.
    • Within subjects ANOVA and mixed models.
  • Multivariate Analysis
    • Principal component analysis (PCA).
    • Factor analysis (FA).
    • Discriminant function analysis.
    • Hierarchical Clustering and K-Means.
  • Nonparametric Statistics
    • 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).
    • Rank and percentile.
    • Chi-square test.
    • Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).
    • Comparing independent samples
      Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Kruskal-Wallis ANOVA and Median test.
    • Comparing dependent samples
      Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance).
    • Cochran's Q Test.
  • Regression Analysis
    • Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).
    • Weighted least squares (WLS) regression.
    • Logistic regression.
    • Stepwise (forward and backward) regression.
    • Polynomial regression.
    • Curve fitting.
    • Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.
  • Time Series Analysis
    • Data processing.
    • Fourier analysis.
    • Smoothing.
    • Moving average.
    • Analysis.
    • Autocorrelation (ACF and PACF).
    • Interrupted time series analysis.
    • Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).
  • Survival Analysis
    • Life tables.
    • Kaplan-Meier (log rank test, hazard ratios).
    • Cox proportional-hazards regression.
    • Probit-analysis (Finney and LPM).
      LD values (LD50/ED50 and others), cumulative coefficient calculation.
    • Receiver operating characteristic curves analysis (ROC analysis).
      AUC methods - DeLong's, Hanley and McNeil's. Report includes: AUC (with confidence intervals), curve coordinates, performance indicators - sensitivity and specificity (with confidence intervals), accuracy, positive and negative predictive values, Youden's J (Youden's index), Precision-Recall plot.
    • Comparing ROC curves.
  • Data Processing
    • Sampling (random, periodic, conditional).
    • Random numbers generation.
    • Standardization.
    • Stack/unstack operations.
    • Matrix operations.
  • Statistical Charts
    • Histogram
    • Scatterplot.
    • Box plot.
    • Stem-and-leaf plot.
    • Bland-Altman plot.
    • Bland-Altman plot with multiple measurements per subject.
    • Quantile-quantile Q-Q plots for different distributions.
    • Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.