![]() XLStat expands upon the Excel toolset by providing a versatile, well-fitted add-in that data analysts will no doubt appreciate. Other tools to help with your data, including data sampling and transformation duties, are also within reach through this lightweight tool. As such, you can view histograms, univariate and probability plots, radar charts, scatter plots, and even word clouds, and make use of the numerous analysis facilities, such as factor analysis, discriminant analysis, and much more, serving to help a great bunch to your data mining endeavors. More for your dataīesides the data preparation and describing utilities on offer, the add-in also offers data visualizing and analyzing capabilities. Upon clicking on Install, when installing for all users, the dialog pictured below should appear. Accept the terms of the license agreement in order to continue. Depending on the function you're using, various additional options may appear, relevant to the respective function. This choice may allow you to be able to install XLSTAT when you don't have the administrator's privilege. Upon picking an option, a window will open, requiring you to select the relevant sections of your spreadsheet. XLSTAT Life Sciences, the full-featured solution for life science. Even a quick peek at the data preparation options outlines the added versatility: data and distribution sampling, variables transformation, discretization, and other similar options work to empower data analysts. A solution for biologists and medical researchers who require quick and accurate results. Data analysis, empoweredĮxcel is a versatile tool as is, but something like this can greatly improve upon it. XLStat is a Microsoft Excel add-in that seeks to offer users who work in data analysis a more comprehensive solution, As such, the add-in works to provide a more dedicated, streamlined toolkit, in order to enhance the end user's workflow: data visualization, preparation, modeling, and clustering, machine learning, and other such functions are readily accessible from your Excel menu bar. ![]() Thankfully, owing to the numerous Office add-ins available, as well as the extensive support they receive, users in specific lines of work can greatly benefit from such an addition. XLSTAT Life Science includes all the features of Basic+, in addition to methods specific to life sciences.The Microsoft Office suite provides users with enough functionality to cover most use cases, but it's not uncommon to feel the need to enlarge that toolset with some additional functions. Techniques for analyzing multiblock data are also available.Īs an ecologist, explore relationships between tables ( multiple factor analysis, redundancy analysis, etc.), discover species niches (e.g canonical correspondence analysis), detect proteins that are differentially expressed (such as OMICs data analysis), or determine ecotoxicological EC50 doses using, for example, nonlinear regression. Explore the complex relationships that may exist among latent variables such as intelligence, well-being, and academic achievement through structural equation modeling using partial least squares. ![]() Use linear regression to look for the factors that most influence psychological scores and build mixed models that account for item or survey effects. ![]() ![]() If you are dealing with complex psychological or social data, you can explore survey data with familiar and proven tools like correspondence analysis. Explore your huge OMICs datasets with our differential expression and heatmap features and use them to describe or understand a phenotype. Compare methods with Passing and Bablok or Bland and Altman regressions, and estimate the sample size your experiment should have with Power Analysis. This way you can spend more time on what really matters: interpreting your results.Īs a biologist or medical researcher, use Cox or Kaplan-Meier models for survival analysis and study the time that passes before an event occurs. Get your results in just a few clicks, without leaving MS Excel. XLSTAT Life Sciences is a solution specifically designed for life sciences researchers and practitioners who would like to use well-known and validated methods to analyze their data and deepen their research. ![]()
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