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R语言 vcdExtra包 vcdExtra-package()函数中文帮助文档(中英文对照)

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发表于 2012-10-1 14:45:09 | 显示全部楼层 |阅读模式
vcdExtra-package(vcdExtra)
vcdExtra-package()所属R语言包:vcdExtra

                                         Extensions and additions to vcd: Visualizing Categorical Data
                                         扩展和补充VCD:分类数据的可视化

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

This package provides additional data sets, documentation, and a few functions designed to extend the vcd package for Visualizing Categorical Data and the gnm package for Generalized Nonlinear Models.  In particular, vcdExtra extends mosaic, assoc and sieve plots from vcd to handle glm() and gnm() models and adds a 3D version in mosaic3d.
这个包提供了额外的数据集,文档,和一些功能设计上延续vcd包广义非线性模型的可视化分类数据gnm包。特别是,vcdExtra扩展了马赛克,副教授和筛图从VCD到处理(GLM)和GNM()模式,并增加了3D版在mosaic3d。


Details

详细信息----------Details----------

The main purpose of this package is to serve as a sandbox for introducing extensions of mosaic plots and related graphical methods that apply to loglinear models fitted using glm() and related, generalized nonlinear models fitted with gnm() in the gnm-package package.
这个包的主要目的是作为一个沙箱中引入的马赛克图和相关的图形的方法,适用于对数线性模型的扩展安装使用glm()和相关的广义非线性模型配备gnm()的 gnm-package包。

The method mosaic.glm  extends the mosaic.loglm method in the vcd package to this wider class of models.  This method also works for the generalized nonlinear models fit with the gnm-package package, including models for square tables and models with multiplicative associations.
的方法mosaic.glm VCD包扩展了mosaic.loglm方法在这个范围更广的模型。此方法也适用于广义非线性模型适合gnm-package包,包括方桌的模型和模型与乘法协会。

mosaic3d introduces a 3D generalization of mosaic displays using the rgl package.
mosaic3d引入了3D拼接显示器的推广使用RGL包。

In addition, there are several new data sets, a new vignette,
此外,有几种新的数据集,一个新的小插图,




vcd-tutorial Working with categorical data with R and the vcd package, vignette("vcd-tutorial", package = "vcdExtra")
VCD教学工作分类数据与R和VCD包,vignette("vcd-tutorial", package = "vcdExtra")

and a few functions for manipulating categorical data sets and working with models for categorical data.
和一些功能,用于处理分类数据集和分类数据的模型。

A new class, glmlist, is introduced for working with collections of glm objects, e.g., Kway for fitting all K-way models from a basic marginal model, and summarise for brief statistical summaries of goodnes-of-fit for a collection of models.
一个新的类,glmlist,工作的集合glm对象,例如,Kway从基本的边际模型拟合所有K-办法型号的推出,和summarise简要统计的goodnes摘要适用于一个模式的集合。

For square tables with ordered factors, Crossings supplements the  specification of terms in model formulas using Symm, Diag,  Topo, etc. in the gnm-package.
方桌有序因子,Crossings补充条款的规范模型公式中使用Symm,Diag,Topo,等中的gnm-package。

Some of these extensions may be migrated into vcd or gnm.
这些扩展可能会被迁移成VCD或GNM。

A collection of demos is included to illustrate fitting and visualizing a wide variety of models:
说明拟合和可视化的各种型号的集合演示:




mental-glm Mental health data: mosaics for glm() and gnm() models
GLM精神心理健康数据:马赛克(GLM)和GNM()模型




occStatus Occupational status data: Compare mosaic using expected= to mosaic.glm
occStatus的职业状态数据:马赛克预期= mosaic.glm




ucb-glm UCBAdmissions data: Conditional independence via loglm() and glm()
UCB-的GLM UCBAdmissions数据:有条件的通过loglm独立的()和(GLM)




vision-quasi VisualAcuity data: Quasi- and Symmetry models
眼光准VisualAcuity数据:准和对称模型




yaish-unidiff Yaish data: Unidiff model for 3-way table
yaish unidiff Yaish的数据:Unidiff模型3路表




Wong2-3 Political views and support for women to work (U, R, C, R+C and RC(1) models)
Wong2-3级政治的意见和支持妇女工作的(U,R,C,R + C和RC(1)模型)




Wong3-1 Political views, support for women to work and national welfare spending (3-way, marginal, and conditional independence models)
Wong3-1的政治观点,对妇女工作的支持和国家福利开支(3路,边缘,有条件的独立模型)




housing Visualize glm(), multinom() and polr() models from example(housing, package="MASS")
住房可视化(GLM),multinom()和polr()模型例子(房屋,包=“质量”)

Use  demo(package="vcdExtra") for a complete current list.
使用 demo(package="vcdExtra")为一个完整的电流名单。

The vcdExtra now contains a large number of data sets illustrating various forms of categorical data analysis and related visualizations, from simple to advanced. Use data(package="vcdExtra") for a complete list, or datasets(package="vcdExtra") for an annotated one showing the class and dim for each data set.
现在,vcdExtra包含大量的数据集,出了各种形式的分类数据分析和可视化,从简单到高级的。使用data(package="vcdExtra")的完整列表,或datasets(package="vcdExtra")注释1class和dim为每个数据集。


(作者)----------Author(s)----------



Michael Friendly

Maintainer: Michael Friendly <friendly AT yorku.ca>




参考文献----------References----------

Web materials: http://www.datavis.ca/books/vcd/.
The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd  Journal of Statistical Software, 2006, 17, 1-48. Available in R via <code>vignette("strucplot", package = "vcd")</code>
2007,  http://eprints.ncrm.ac.uk/472/. Available in R via <code>vignette("gnmOverview", package = "gnm")</code>.

参见----------See Also----------

gnm-package, for an extended range of models for contingency tables
gnm-package,模型扩展范围的列联表

mosaic for details on mosaic displays within the strucplot framework.  
mosaic显示内的strucplot的框架上镶嵌的详细信息。


实例----------Examples----------


example(mosaic.glm)

demo("mental-glm")

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
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