The Book of R: A First Course in Programming and Statistics Tilman M. Davies fiche de lecture

The Book of R: A First Course in Programming and Statistics

Computers & Internet, Tilman M. Davies

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The Book of R: A First Course in Programming and Statistics Tilman M. Davies fiche de lecture - Un grand auteur, Tilman M. Davies a écrit une belle The Book of R: A First Course in Programming and Statistics livre. Ne vous inquiétez pas, le sujet de The Book of R: A First Course in Programming and Statistics est très intéressant à lire page par page. Le livre a pages 832. Je suis sûr que vous ne vous sentirez pas ennuyeux à lire. Ce livre étonnant est publié par une grande fabrication, No Starch Press. La lecture de la The Book of R: A First Course in Programming and Statistics fera plus de plaisir dans votre vie. Vous pourrez profiter de l'idée derrière le contenu. Télécharger The Book of R: A First Course in Programming and Statistics bientôt à votre ordinateur portable facilement.. Si vous avez décidé de trouver ou lire ce livre, ci-dessous sont des informations sur le détail de The Book of R: A First Course in Programming and Statistics pour votre référence.

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.

You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.

Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:
–The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
–Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
–How to access R’s thousands of functions, libraries, and data sets
–How to draw valid and useful conclusions from your data
–How to create publication-quality graphics of your results

Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.Rang parmi les ventes Amazon: #221950 dans eBooksPublié le: 2016-07-16Sorti le: 2016-07-16Format: Ebook KindlePrésentation de l'éditeurThe Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:–The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops–Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R–How to access R’s thousands of functions, libraries, and data sets–How to draw valid and useful conclusions from your data–How to create publication-quality graphics of your resultsCombining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.Présentation de l'éditeurThe Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:–The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops–Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R–How to access R’s thousands of functions, libraries, and data sets–How to draw valid and useful conclusions from your data–How to create publication-quality graphics of your resultsCombining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.Biographie de l'auteurTilman M. Davies is a senior lecturer at the University of Otago in New Zealand, where he teaches statistics and R at all university levels. He has been programming in R for 10 years and uses it in all of his courses.

Si vous avez un intérêt pour The Book of R: A First Course in Programming and Statistics, vous pouvez également lire un livre similaire tel que cc Python Crash Course: A Hands-On, Project-Based Introduction to Programming, Data Science : fondamentaux et études de cas: Machine Learning avec Python et R, An Introduction to Statistical Learning: with Applications in R, Introduction to Machine Learning with Python: A Guide for Data Scientists, Deep Learning, Python Data Science Handbook: Essential Tools for Working with Data, Algorithms in a Nutshell: A Practical Guide