Users can source data from multiple sources with ease. XLSTAT statistical analysis software allows users to manage their data sets and get them ready for analysis. Plus, users can test the association between rows and columns of a table with ease. XLSTAT allows users to summarize the relationship between two categorical variables. Users can code and recode data automatically to save time. This software enables users to mine data using principal component analysis, factor analysis, correspondence analysis, and discriminant analysis. Besides, users can use this XLSTAT analysis solution to detect latent variables that summarise variability among various variables. This software allows users to generate different amounts of data from a theoretical distribution. With this Excel add-on, users can develop a subsample of observations from univariate or multivariate data sets. Additionally, users can seamlessly model ordinal survey responses using ordinal logit models in Excel. This software enables users to model binary, ordinary, or ordinal data for logistic regression. Users can perform a multivariate analysis of variance to model a combination of dependent variables. XLSTAT allows users to carry out an analysis of variance and covariance in multiple ways in Excel. Plus, this analytical solution enables users to perform distribution fitting checks. Users can visualize data using a wide range of visualizations like histograms, scatter plots, probability plots, error bars, 2D plots, motion charts, and univariate plots. XLSTAT allows users to export and share documents in GIF, JPG, PNG, and TIFF formats. With this software, users can perform correlation, parametric, and non-parametric tests. Businesses of all sizes use XLSTAT to prepare, manage, describe, analyze, visualize, and model data. This affordable software works as an add-on to Excel. XLSTAT focuses on providing data analysis and statistical solutions for organizations from different industries with focus on users in education and research. XLSTAT 2020.1.3 will provide you access to improvements, advanced options and increase the performance of your software.XLSTAT statistical analysis software helps universities and businesses of all sizes analyze, customize, and share data results within Microsoft Excel. * Up and down arrow buttons (available in all XLSTAT solutions)Ĭonvenient arrows now allow you to quickly move up and down any XLSTAT report sheet. Access this feature under the Sensory data analysis menu. In a sensory data analysis, this graph helps you evaluate, for a given product, how close the assessors are to each other and which ones stand out. * STATIS / Free sorting (available in XLSTAT Sensory and Premium)Ī chart has been added to project each object of each configuration on the axes determined by STATIS. This feature is available in the Dose effect analysis menu. Addition of the graph Residual values versus Fitted values for verifying the assumption of randomly distributed residuals with a homogeneous variance. Powerful and faster computations are achieved due to the improvement of the Levenberg-Marquardt algorithm. * 4 or 5 parameter logistic regression (available in XLSTAT Life Sciences and Premium) Access this feature from the Method Validation menu. XLSTAT implements methods as described in ISO 13528-2015-10 (algorithm A). Commonly used in Laboratory Medicine to evaluate the performance of interlaboratory test procedures. This new method validation tool consists of a bivariate scatter plot in which limits of acceptability and outliers are plotted. * Youden Plots (available in XLSTAT Life Sciences and Premium) You can find it in the Visualizing data menu. Use the new field of the Ternary dialog box, named Groups, for this purpose. * Ternary graphs with groups (available in all XLSTAT solutions)Ĭolor observation points within your Ternary plot based on the group they belong to. This feature is accessible under the Parametric tests menu. Missing values in your data are no longer a limitation as an option for removing missing observations (tab Missing data) has been added. You can now select multiple columns of sample identifiers and carry out the independent test for each of the sample identifiers in one shot. * 2-sample t-test and z-test (available in all XLSTAT solutions) * Clustering after dimensionality reduction (available in all XLSTAT solutions)Ī new button has been added to the XLSTAT output sheet which allows you to quickly run an Agglomerative Hierarchical Clustering (AHC) after conducting a Principant Component Analysis (PCA) or other dimension reduction methods (MFA, FA, MCA, etc). ApADDINSOFT launches XLSTAT 2020.1.3, its powerful data analysis add-in for Microsoft Excel®.
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