Linear Models with R pdf epub mobi txt 电子书 下载 2024


Linear Models with R

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Julian J. Faraway
Chapman and Hall/CRC
2004.07
240
$73.95
Hardcover
9781584884255

图书标签: R  数据挖掘  编程  统计学  统计  Statistics  教材·看看我都学了啥  强烈推荐   


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发表于2024-12-27

Linear Models with R epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Linear Models with R epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Linear Models with R pdf epub mobi txt 电子书 下载 2024



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Review

Dr Faraway uses many examples and graphical procedures to illustrate the methods. This is a great strength of the book. …Linear Models with R is one of several books appearing to make R more accessible by bringing together functions from a number of packages and illustrating their use. From this perspective alone it is an important contribution. …I feel this book does a nice job of describing the methods available in linear modeling and illustrating the realistic implementation of these methods in a careful data analysis.

-Statistics in Medicine, 2006

One danger with applied books such as this is that they become recipe lists of the kind 'press this key to get that result.' This is not so with Faraway's book. Throughout, it gives plenty of insight on what is going on, with comments that even the seasoned practitioner will appreciate. Interspersed with R code and the output that it produces one can find many little gems of what I think is sound statistical advice, well epitomized with the examples chosen…I read it with delight and think that the same will be true with anyone who is engaged in the use or teaching of linear models…I find this book a valuable buy for anyone who is involved with R and linear models, and it is essential in any university library where those topics are taught.

-Journal of the Royal Statistical Society

One danger with applied books such as this is that they become recipe lists of the kind press this key to get that result. This is not so with Faraways book. Throughout, it gives plenty of insight on what is going on, with comments that even the seasoned practitioner will appreciate. Interspersed with R code and the output that it produces one can find many little gems of what I think is sound statistical advice, well epitomized with the examples chosen…I read it with delight and think that the same will be true with anyone who is engaged in the use or teaching of linear models…I find this book a valuable buy for anyone who is involved with R and linear models, and it is essential in any university library where those topics are taught.

-Journal of the Royal Statistical Society

Overall, Linear Models with R is well written and, given the increasing popularity of R, it is an important contribution.

-Technometrics, Vol. 47, No. 3, August 2005

The book is very comprehensibly written and can therefore be recommended for beginners in linear models. It is clearly and simply explained how to use R and which packages are necessary to analyze linear models. …All in all, this book is recommendable as a textbook for computational linear regression courses and therefore for students and lecturers, but also for applied statisticians who want to get started on regression analysis using the software R.

-Biometrics

The book is very comprehensibly written and can therefore be recommended for beginners in linear models. It is clearly and simply explained how to use R and which packages are necessary to analyze linear models. …All in all, this book is recommendable as a textbook for computational linear regression courses and therefore for students and lecturers, but also for applied statisticians who want to get started on regression analysis using the software R.

-Biometrics

There are many books on regression and analysis of variance on the market, but this one is unique and has a novel approach to these statistical methods. The author uses R throughout the text to teach data analysis…The text also contains a wealth of references for the reader to pursue on related issues. This book is recommended for all who wish to use R for statistical investigations.

-Short Book Reviews of the International Statistical

Institute

There are many books on regression and analysis of variance on the market, but this one is unique and has a novel approach to these statistical methods. The author uses R throughout the text to teach data analysis…The text also contains a wealth of references for the reader to pursue on related issues. This book is recommended for all who wish to use R for statistical investigations.

-Short Book Reviews of the International Statistical

Institute

…Dr. Faraway uses many examples and graphical procedures to illustrate the methods. This is a great strength of the book. … Linear Models with R is one of several books appearing to make R more accessible by bringing together functions from a number of packages and illustrating their use. From this perspective alone it is an important contribution. …I feel this book does a nice job of describing the methods available in linear modeling and illustrating the realistic implementation of these methods in a careful data analysis. …

-Statistics in Medicine, 2006

Product Description

This textbook focuses on the practice of regression and analysis of variance. Readers will learn which methods are available and the various situations in which they can be applied. Numerous examples clarify the use of the techniques and demonstrate what conclusions can be made. The author places less emphasis on mathematical theory, partly because some prior knowledge is assumed and partly because the issues are better tackled elsewhere. An interesting aspect of this book is the author's emphasis on statistical theory and qualitative aspects of the topic. He highlights the importance of data analysis and stresses its inportance through use of the inclusion of R software.

Linear Models with R 下载 mobi epub pdf txt 电子书

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Linear Models with R pdf epub mobi txt 电子书 下载
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STAT 425

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原理部分用了很多线性代数的内容,看起来略吃力,于是去补了几集Gilbert Strang的线性代数。撸完还是挺有收获的,但是仅限于基本的线性回归(连续的自变量)。后面到ANOVA以及ANCOVA比较跳跃,又不明白了。打算撸别的。

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neat, neat, neat

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原理部分用了很多线性代数的内容,看起来略吃力,于是去补了几集Gilbert Strang的线性代数。撸完还是挺有收获的,但是仅限于基本的线性回归(连续的自变量)。后面到ANOVA以及ANCOVA比较跳跃,又不明白了。打算撸别的。

评分

PHC6050C Biostatistical Methods I 理论真的太浅了,几乎只是告诉你有这么一个东西存在,这个东西可以用来做blabla。剩下的全都是实操,但有时为什么这么做、这么做和那么做的区别在哪里也都没有解释得特别清楚,包括对一些结果的分析也是一笔带过很难让人理解。

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