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Titlebook: Metaprogramming in R; Advanced Statistical Thomas Mailund Book 2017 Thomas Mailund 2017 metaprogramming.R.programming.meta.code.statistics.

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發(fā)表于 2025-3-21 20:07:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Metaprogramming in R
副標(biāo)題Advanced Statistical
編輯Thomas Mailund
視頻videohttp://file.papertrans.cn/632/631732/631732.mp4
概述Shows you how to manipulate the structures of the R language.Demonstrates applications in big data, data science/analytics, finance and analysis with statistical programming.Broadens your understandin
圖書(shū)封面Titlebook: Metaprogramming in R; Advanced Statistical Thomas Mailund Book 2017 Thomas Mailund 2017 metaprogramming.R.programming.meta.code.statistics.
描述Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. .Metaprogramming in R. shows you how to treat code as data that you can generate, analyze, or modify.?.R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R‘s natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself.?.What You‘ll Learn.Find out about the anatomy of a function in R?.Look inside a function call.Work with R expressions and environments.Manipulate expressions in R.Use substitutions?.Who This Book Is For.Those with at least some experience with R and certainly for those with experience in other programming languages..
出版日期Book 2017
關(guān)鍵詞metaprogramming; R; programming; meta; code; statistics; technique; software
版次1
doihttps://doi.org/10.1007/978-1-4842-2881-4
isbn_softcover978-1-4842-2880-7
isbn_ebook978-1-4842-2881-4
copyrightThomas Mailund 2017
The information of publication is updating

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發(fā)表于 2025-3-21 23:17:39 | 只看該作者
Inside a Function Call,s parent to the environment where the function was defined and has its arguments stored as promises that will be evaluated either in the environment where the function was defined (for default parameters) or in the environment where the function was called (for parameters provided to the function th
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Working with Substitutions,d a pairlist. Function calls include operators such as the arithmetic or logical operators because these are function calls as well in R, and control structures can be considered just a special kind of function calls—they only really differ from function calls in the syntax you use to invoke them.
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Thomas Mailundere has been progress with dose management, particularly dose reduction, due to both technical and application advancements. There are various existing actions focusing on the collection and analysis of population exposure data for radiological procedures. However, there is an increasing mandate, pa
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Thomas Mailund to treatment, surgery and radiation therapy planning of malignant diseases. The complementarity between anatomical (CT and MRI) and functional/molecular (SPECT and PET) imaging modalities is now well recognized and the role of fusion imaging is widely used as a central piece of the general tree of
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