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experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and;
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experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and;
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This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical;
Vergelijkbare producten zoals An Introduction to R for Spatial Analysis and Mapping
This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical;
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Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve;
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begin using R effectively for statistical analysis. You ll start with the basics, like how to handle data and write simple programs, before;
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A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a;
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A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to;
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computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from;
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including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this;
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analysis to students of ecology, evolution, and environmental studies (including worked analyses of data sets relevant to all three disciplines;
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analysis to students of ecology, evolution, and environmental studies (including worked analyses of data sets relevant to all three disciplines;
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standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used;
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Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;
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multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical;
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in spatial analysis and mapping.This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and;
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reproducible statistical analyses in your R projects * Use RStudio to design predictive models for a specific domain-based application * Use RStudio;
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comprehensive insights into the techniques and interpretations of R, SPSS(R), Excel(R), and Numbers(R) output An Introduction to Statistical Analysis;
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R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;
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R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;
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This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are;
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This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are;
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This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate;
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This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate students;
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Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods;
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the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that;
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