cotab_panel(vcd)
cotab_panel()所属R语言包：vcd
Panel-generating Functions for Contingency Table Coplots
面板生成函数列联表Coplots
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Panel-generating functions visualizing contingency tables that can be passed to cotabplot.
面板的功能，可以传递给cotabplot的可视化应急表。
用法----------Usage----------
cotab_mosaic(x = NULL, condvars = NULL, ...)
cotab_assoc(x = NULL, condvars = NULL, ylim = NULL, ...)
cotab_sieve(x = NULL, condvars = NULL, ...)
cotab_fourfold(x = NULL, condvars = NULL, ...)
cotab_coindep(x, condvars,
test = c("doublemax", "maxchisq", "sumchisq"),
level = NULL, n = 1000, interpolate = c(2, 4),
h = NULL, c = NULL, l = NULL, lty = 1,
type = c("mosaic", "assoc"), legend = FALSE, ylim = NULL, ...)
参数----------Arguments----------
参数：x
a contingency tables in array form.
一个数组形式的列联表。
参数：condvars
margin name(s) of the conditioning variables.
调理变量的的保证金名称（）。
参数：ylim
y-axis limits for assoc plot. By default this is computed from x.
y轴限制assoc图。默认情况下，这是计算从x。
参数：test
character indicating which type of statistic should be used for assessing conditional independence.
字符指示应该使用哪种类型的统计评估条件独立。
参数：level,n,h,c,l,lty,interpolate
variables controlling the HCL shading of the residuals, see shadings for more details.
变量残差控制的HCL着色，shadings更多的细节。
参数：type
character indicating which type of plot should be produced.
字符，指示应哪种类型的图。
参数：legend
logical. Should a legend be produced in each panel?
逻辑。如果一个传奇，在每个面板生产？
参数：...
further arguments passed to the plotting function (such as mosaic or assoc or sieve respectively).
进一步的参数传递给绘图功能（如mosaic或assoc或sieve分别）。
Details
详细信息----------Details----------
These functions of class "panel_generator" are panel-generating functions for use with cotabplot, i.e., they return functions with the interface
这些功能的类"panel_generator"面板与cotabplot，即使用的功能，返回功能与接口
panel(x, condlevels)
panel(x, condlevels)
required for cotabplot. The functions produced by cotab_mosaic, cotab_assoc and cotab_sieve essentially only call co_table to produce the conditioned table and then call mosaic, assoc or sieve respectively with the arguments specified.
所需的cotabplot。功能cotab_mosaic，cotab_assoc和cotab_sieve基本上只调用“co_table生产条件表，然后调用mosaic，assoc或 sieve分别指定的参数。
The function cotab_coindep is similar but additionally chooses an appropriate residual-based shading visualizing the associated conditional independence model. The conditional independence test is carried out via coindep_test and the shading is set up via shading_hcl.
函数cotab_coindep是类似的，但另外选择一个合适的剩余为基础的阴影，相关的条件独立模型可视化。通过coindep_test和阴影设置通过shading_hcl的条件独立进行试验。
A description of the underlying ideas is given in Zeileis, Meyer, Hornik (2005).
描述的基本思想是在Zeileis，迈耶，霍尔尼克（2005年）。
（作者）----------Author(s)----------
Achim Zeileis <a href="mailto:Achim.Zeileis@R-project.org">Achim.Zeileis@R-project.org</a>
参考文献----------References----------
The strucplot framework: Visualizing multi-way contingency tables with <code>vcd</code>. Journal of Statistical Software, 17(3), 1-48. URL http://www.jstatsoft.org/v17/i03/ and available as <code>vignette("strucplot")</code>.
(conditional) independence, Journal of Computational and Graphical Statistics, 16, 507–525.
参见----------See Also----------
cotabplot, mosaic, assoc, sieve, co_table, coindep_test, shading_hcl
cotabplot，mosaic，assoc，sieve，co_table，coindep_test，shading_hcl
实例----------Examples----------
data("UCBAdmissions")
cotabplot(~ Admit + Gender | Dept, data = UCBAdmissions)
cotabplot(~ Admit + Gender | Dept, data = UCBAdmissions, panel = cotab_assoc)
cotabplot(~ Admit + Gender | Dept, data = UCBAdmissions, panel = cotab_fourfold)
ucb <- cotab_coindep(UCBAdmissions, condvars = "Dept", type = "assoc", n = 5000, margins = c(3, 1, 1, 3))
cotabplot(~ Admit + Gender | Dept, data = UCBAdmissions, panel = ucb)
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。
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发表于 2012-10-1 14:46:54
