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Programming --- Quantitative methods in social research --- R (Computer program language) --- Mathematical statistics --- R (Langage de programmation) --- Statistique mathématique --- Data processing --- Informatique --- Statistical methods --- Statistique mathématique --- R (Lenguaje de programación) --- Estadística matemática --- R (Computer program language) - Statistical methods --- Mathematical statistics - Data processing
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R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.
Programming --- Mathematical statistics --- Statistics --- R (Computer program language) --- Statistique --- R (Langage de programmation) --- Data processing. --- Informatique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- R (Computer program language). --- GNU-S (Computer program language) --- Domain-specific programming languages --- Data processing --- Statistics - Data processing --- R (Lenguaje de programación) --- Estadística matemática
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"This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, the book presents original case studies on conversational talk-in-interaction based on corpus data and explains in good detail how key graphs in the case studies were programmed in R. It also includes task sections to enable readers to conduct their own research and compute their own visualizations in R. Both the code underlying the key graphs in the case studies and the datasets used in the case studies as well as in the task sections are made available on the book's companion website"--
Computational linguistics. --- Conversation analysis --- Discourse analysis --- Grammar, Comparative and general --- Information visualization. --- Linguistics --- R (Computer program language). --- Data processing. --- Syntax --- Statistical methods. --- E-books --- R (Computer program language) --- Information visualization --- Statistical methods --- Mathematical linguistics --- Lingüística --- Lingüística matemática --- R (Lenguaje de programación) --- Lingüística e informática --- Análisis del discurso --- Métodos estadísiticos --- Proceso de datos --- Linguistics - Statistical methods
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Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.
Mathematical statistics --- Bayesian statistical decision theory. --- R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Bayesian statistical decision theory --- Estadística bayesiana --- R (Lenguaje de programación) --- GNU-S (Lenguaje de programación) --- Lenguajes de programación --- Análisis bayesiano --- Bayes, Solución de --- Bayes, Teorema de --- Decisión bayesiana, Teoría de la --- Inferencia bayesiana --- Solución de Bayes --- Teorema de Bayes --- Teoría de la decisión estadística bayesiana --- Toma de decisiones (Estadística bayesiana) --- Toma de decisiones
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"This books provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics."--Back cover.
Statistics --- R (Computer program language) --- Statistique --- R (Langage de programmation) --- Data processing --- Informatique --- R (Computer program language). --- Data processing. --- Programming --- Mathematical statistics --- #SBIB:303H4 --- 681.3*G3 --- 519.2 --- -R (Computer program language) --- -519.5 --- GNU-S (Computer program language) --- Domain-specific programming languages --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Informatica in de sociale wetenschappen --- EPUB-LIV-FT SPRINGER-B --- Mathematics. --- Bioinformatics. --- Computational biology. --- Probabilities. --- Statistics. --- Probability Theory and Stochastic Processes. --- Statistics and Computing/Statistics Programs. --- Computer Appl. in Life Sciences. --- 519.5 --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Distribution (Probability theory. --- Mathematical statistics. --- Biology --- Statistics . --- Bioinformatics . --- Computational biology . --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk --- Statistics - Data processing --- Estadística $xInformática --- R (Lenguaje de programación) --- Estadística matemática
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