![]() ![]() Mantel, Cochran-Armitage, K proportions, McNemar), as well as use various tools (e.g. Moreover, you may run correlation/association, parametric and nonparametric tests (e.g. In other words, not only that you have modeling and analysis tools at your disposal, but you can also use the models and rules of XLStat for machine learning. factor or discriminant analysis, k-means clustering) and to model it via distribution fitting, linear regression, mixed models and logistic regression, just to name a few. Tools for describing, visualizing and analyzing data, along with machine learning featuresĪdditional features of XLStat allow you to analyze information (e.g. Data visualization is possible through univariate and function plots, label repositioning, chart mergers, 2D plots for contingency tables and error bars. For example, you can prepare data via data or distribution sampling, variables transformation, data management and coding.īut you can also describe data with the courtesy of histograms, quantiles estimation, normality tests, biserial correlation and resampled statistics. Once installed, XLStat creates an extra ribbon bar in Microsoft Excel, thus giving you access to some powerful features. An Excel add-on for advanced statistical analysis ![]() It is feature-packed and can be easily installed and configured, even by less experienced users. XLStat is an add-on that enhances the functionality of Microsoft Excel by adding advanced statistical analysis tools and a plethora of diagram and plot generators. ![]()
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