assocplot(graphics)
assocplot()所属R语言包：graphics
Association Plots
协会图解
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Produce a Cohen-Friendly association plot indicating deviations from independence of rows and columns in a 2-dimensional contingency table.
说明偏离在2维列联表的行和列的独立性产生科恩友好协会图。
用法----------Usage----------
assocplot(x, col = c("black", "red"), space = 0.3,
main = NULL, xlab = NULL, ylab = NULL)
参数----------Arguments----------
参数：x
a two-dimensional contingency table in matrix form.
在二维矩阵形式的应急表。
参数：col
a character vector of length two giving the colors used for drawing positive and negative Pearson residuals, respectively.
特征向量的长度，使绘制正面和负面的皮尔森残差，分别使用的颜色2。
参数：space
the amount of space (as a fraction of the average rectangle width and height) left between each rectangle.
每个矩形之间留下的空间量（平均矩形的宽度和高度的一小部分）。
参数：main
overall title for the plot.
图的总冠军。
参数：xlab
a label for the x axis. Defaults to the name (if any) of the row dimension in x.
为x轴的标签。默认x行维度的名称（如有）。
参数：ylab
a label for the y axis. Defaults to the name (if any) of the column dimension in x.
y轴的标签。默认x列维度的名称（如有）。
Details
详情----------Details----------
For a two-way contingency table, the signed contribution to Pearson's chi^2 for cell i, j is d_{ij} = (f_{ij} - e_{ij}) / sqrt(e_{ij}), where f_{ij} and e_{ij} are the observed and expected counts corresponding to the cell. In the Cohen-Friendly association plot, each cell is represented by a rectangle that has (signed) height proportional to d_{ij} and width proportional to sqrt(e_{ij}), so that the area of the box is proportional to the difference in observed and expected frequencies. The rectangles in each row are positioned relative to a baseline indicating independence (d_{ij} = 0). If the observed frequency of a cell is greater than the expected one, the box rises above the baseline and is shaded in the color specified by the first element of col, which defaults to black; otherwise, the box falls below the baseline and is shaded in the color specified by the second element of col, which defaults to red.
对于双向应变表，签署皮尔森chi^2单元i, j是d_{ij} = (f_{ij} - e_{ij}) / sqrt(e_{ij})，其中f_{ij}和e_{ij}是观察和预期计数的贡献相应的单元。在科恩的友好交往图，每个单元代表一个矩形（签名）d_{ij}sqrt(e_{ij})比例和宽度高度比例，使框的面积是成正比的区别在观察和预期的频率。在每一行的矩形的位置相对基准独立（d_{ij} = 0）。如果一个单元的观察频率比预期的更大，盒子高于基线和col，默认为黑色的第一个元素中指定的颜色阴影;否则，瀑布下方的方块基线和阴影在由的col，默认为红色的第二个元素中指定的颜色。
A more flexible and extensible implementation of association plots written in the grid graphics system is provided in the function assoc in the contributed package vcd (Meyer, Zeileis and Hornik, 2005).
一个更加灵活和可扩展的网格中的图形系统书面协会图的实施提供功能assoc在实缴包vcd（迈耶，Zeileis和Hornik，2005年）。
参考文献----------References----------
On the graphical display of the significant components in a two-way contingency table. Communications in Statistics—Theory and Methods, A9, 1025–1041.
Graphical methods for categorical data. SAS User Group International Conference Proceedings, 17, 190–200. http://www.math.yorku.ca/SCS/sugi/sugi17-paper.html
The strucplot framework: Visualizing multi-way contingency tables with vcd. Report 22, Department of Statistics and Mathematics, Wirtschaftsuniversit鋞 Wien, Research Report Series. http://epub.wu.ac.at/dyn/openURL?id=oai:epub.wu-wien.ac.at:epub-wu-01_8a1
参见----------See Also----------
mosaicplot, chisq.test.
mosaicplot，chisq.test。
举例----------Examples----------
## Aggregate over sex:[＃总结以上性别：]
x <- margin.table(HairEyeColor, c(1, 2))
x
assocplot(x, main = "Relation between hair and eye color")
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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发表于 2012-2-17 10:23:27
