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Titlebook: Visualizing Data in R 4; Graphics Using the b Margot Tollefson Book 2021 Margot Tollefson 2021 Programming.R.language.R 4.statistics.graphi

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發(fā)表于 2025-3-21 16:40:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Visualizing Data in R 4
副標(biāo)題Graphics Using the b
編輯Margot Tollefson
視頻videohttp://file.papertrans.cn/984/983876/983876.mp4
概述Gives a detailed guide to the highly flexible plot() function.Describes the functions in ggplot2, with reference to the arguments and ancillary functions of plot().A handy reference for looking up the
圖書封面Titlebook: Visualizing Data in R 4; Graphics Using the b Margot Tollefson Book 2021 Margot Tollefson 2021 Programming.R.language.R 4.statistics.graphi
描述.Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots.?The approach in .Visualizing Data in R 4 .toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats.?This book will take advantage of the new features added to R 4 where appropriate including a refreshed color palette for charts, Cairo graphics with more fonts/symbols, and improved performance from grid graphics including ggplot 2 rendering speed.?..Visualizing Data in R 4. starts with an introduction and then is split into two parts and six appendices.?Part I covers the function plot() and the ancillary functions you can use with plot().?You’ll also see the functions par() and layout(), providing for multiple plots on a page. Part II goes over the basics of using the functions qplot() and ggplot() in the package ggplot2.?The default plots generated by the functions qplot() and ggplot() give more sophisticated-looking plots than the default plots done by plot() and are easier to use, but the function plot() is more flexible.?Both plot() and ggplot() allow for many layers t
出版日期Book 2021
關(guān)鍵詞Programming; R; language; R 4; statistics; graphics; ggplot; visualization; visualizing; data; data science; co
版次1
doihttps://doi.org/10.1007/978-1-4842-6831-5
isbn_softcover978-1-4842-6830-8
isbn_ebook978-1-4842-6831-5
copyrightMargot Tollefson 2021
The information of publication is updating

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gs . of each input . and then adding them together over some Abelian group into an output encoding ., which reveals nothing but the result. In . ARE (RARE) the sum of any subset of ., reveals only the residual function obtained by restricting the corresponding inputs. The appeal of (R)ARE comes from
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Margot Tollefsonssumptions such as Quadratic Residuosity, Decisional Diffie-Hellman, and Learning with Errors. These primitives imply hard problems in the complexity class . (statistical zero-knowledge); as a consequence, they can only be based on assumptions that are broken in .. This poses a barrier for building
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Margot Tollefsonsword-authenticated key exchange (PAKE) protocols require only minimal overhead over a classical Diffie-Hellman key exchange. PAKEs are also known to fulfill strong composable security guarantees that capture many password-specific concerns such as password correlations or password mistyping, to?nam
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