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Análisis de datos y métodos estadísticos con R

This data analysis book and statistical methods with R (Adymer) collects part of the work of many years that we have carried out several colleagues from the University of Murcia (UMU) of different disciplines, but with the common link of the understanding of R as Longua Francawhich connects science...

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Médium: Online
Jazyk:španělština
Vydáno: EDITUM. Ediciones de la Universidad de Murcia 2025
Témata:
COMPUTING
Social Sciences.Statistics
Statistical data
Social Surveys - Statistical Methods - Computer programs
thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
On-line přístup:ONIX_20250313_9788409430659_258
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Shrnutí:This data analysis book and statistical methods with R (Adymer) collects part of the work of many years that we have carried out several colleagues from the University of Murcia (UMU) of different disciplines, but with the common link of the understanding of R as Longua Francawhich connects science and humanities with data analysis. Adymer shapes and expands the material of numerous courses and workshops that we have taught at different levels and formats, having mixed teachers with apprentices, rookie and seasoned teachers, creating a special philosophy and giving rise to groups of dissemination of R Knowledge of R in all itsaspects, especially the researcher, teacher and business. In Adymer, the particularities of R, the formal definitions and use in R of the descriptive statistics and contrasts of hypotheses (parametric and non -parametric), the regression models (linear and logistics) and statistical power, details on the visualization of resultsThrough graphs, tables and web applications with R, clean manipulation (TIDY), analysis of questionnaires through Likert scales and multivariate analysis. As the reader can see, it is a learning tour of R tools and libraries for data analysis, allowing the reader to focus on the task that he/she need most without leaving behind basic and general concepts of R handling.

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