Humanities data in R [Documento eletrónico] : exploring networks, geospatial data, images, and text / Taylor Arnold, Lauren Tilton
Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer International Publishing, 2015Description: XIII, 211 p. : il.ISBN: 978-3-319-20702-5.Series: Quantitative Methods in the Humanities and Social SciencesSubject - Topical Name: Estatística matemática | Sistemas de informação | Ciências sociais, Metodologia | Linguística computacional | Antropologia Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA276.SPR FCT 96329 (Browse shelf(Opens below)) | 1 | Available |
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QA276.SPR FCT 96313 Statistical tools for measuring agreement | QA276.SPR FCT 96318 Biostatistics with R, an introduction to statistics through biological data | QA276.SPR FCT 96328 Modeling psychophysical data in R | QA276.SPR FCT 96329 Humanities data in R, exploring networks, geospatial data, images, and text | QA276.SPR FCT 96330 Growth curve and structural equation modeling, topics from the Indian Statistical Institute | QA276.SPR FCT 96332 Study guide for statistics for business and financial economics, a supplement to the textbook | QA276.SPR FCT 96333 Excel 2013 for biological and life sciences statistics, a guide to solving practical problems |
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This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book’s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries.
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