{"title":"More on Multidimensional Scaling and Unfolding in R: smacof Version 2","authors":"P. Mair, P. Groenen, J. Leeuw","doi":"10.18637/jss.v102.i10","DOIUrl":null,"url":null,"abstract":"The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R . Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added. Major updates include a complete re-implementation of multidimensional unfolding allowing for monotone dissimilarity transformations, including row-conditional, circular, and external unfolding. Additionally, the constrained MDS implementation was extended in terms of optimal scaling of the external variables. Further package additions include various tools and functions for goodness-of-fit assessment, unidimensional scaling, gravity MDS, asymmetric MDS, Procrustes, and MDS biplots. All these new package functionalities are illustrated using a variety of real-life applications.","PeriodicalId":17237,"journal":{"name":"Journal of Statistical Software","volume":"113 ","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistical Software","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.18637/jss.v102.i10","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 24
Abstract
The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R . Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added. Major updates include a complete re-implementation of multidimensional unfolding allowing for monotone dissimilarity transformations, including row-conditional, circular, and external unfolding. Additionally, the constrained MDS implementation was extended in terms of optimal scaling of the external variables. Further package additions include various tools and functions for goodness-of-fit assessment, unidimensional scaling, gravity MDS, asymmetric MDS, Procrustes, and MDS biplots. All these new package functionalities are illustrated using a variety of real-life applications.
smacof包在R中提供了多维缩放(MDS)技术的全面实现。自从第一次发布(De Leeuw and maair 2009b)以来，包的功能得到了增强，并添加了一些额外的方法、特性和实用程序。主要的更新包括完全重新实现多维展开，允许单调的不相似转换，包括行条件展开、循环展开和外部展开。此外，根据外部变量的最优缩放对约束MDS实现进行了扩展。进一步增加的包包括各种工具和功能，用于拟合优度评估、一维缩放、重力MDS、非对称MDS、Procrustes和MDS双标图。所有这些新的包功能都使用各种实际应用程序进行了说明。
期刊介绍：
The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.
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