marginmatrix(VIM)
marginmatrix()所属R语言包：VIM
Marginplot Matrix
Marginplot矩阵
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Create a scatterplot matrix with information about missing/imputed values in the plot margins of each panel.
创建一个散点图矩阵信息丢失/估算值在每块面板的图利润的。
用法----------Usage----------
marginmatrix(x, delimiter = NULL, col = c("skyblue","red","red4",
"orange","orange4"), alpha = NULL, ...)
TKRmarginmatrix(x, delimiter = NULL, col = c("skyblue","red","red4",
"orange","orange4"), alpha = NULL, ..., hscale = NULL,
vscale = NULL, TKRpar = list())
参数----------Arguments----------
参数：x
a matrix or data.frame.
矩阵或data.frame。
参数：delimiter
a character-vector to distinguish between variables and imputation-indices for imputed variables (therefore, x needs to have colnames). If given, it is used to determine the corresponding imputation-index for any imputed variable (a logical-vector indicating which values of the variable have been imputed). If such imputation-indices are found, they are used for highlighting and the colors are adjusted according to the given colors for imputed variables (see col).
一个特征向量来区分变量和插补指数估算的变量（因此，x需要有colnames）。如果给出，它被用来确定相应的插补索引的任何估算的变量（一个逻辑矢量指示变量的值已被插补）。如果这样的归集指数被发现，它们用于高亮和颜色的调整，根据给定的颜色估算变量（见col“）。
参数：col
a vector of length five giving the colors to be used in the marginplots in the off-diagonal panels. The first color is used for the scatterplot and the boxplots for the available data, the second/fourth color for the univariate scatterplots and boxplots for the missing/imputed values in one variable, and the third/fifth color for the frequency of missing/imputed values in both variables (see "Details"). If only one color is supplied, it is used for the bivariate and univariate scatterplots and the boxplots for missing/imputed values in one variable, whereas the boxplots for the available data are transparent. Else if two colors are supplied, the second one is recycled.
给予中的非对角（off-diagonal）面板marginplots中要使用的颜色的长度为5的向量。第一种颜色用于现有的数据，第二/四色单变量散点图和盒状图的一个变量中的值丢失/估算，第三/第五种颜色的频率失踪/估算的散点图，盒状图这两个变量中的值（见“详细信息”）。如果只有一种颜色被提供时，它被用于在一个变量中的缺失/插补值的二元和单变量的散点图和盒形图，而可用的数据的盒形图是透明的。否则，如果两个颜色被提供的，第二个循环。
参数：alpha
a numeric value between 0 and 1 giving the level of transparency of the colors, or NULL. This can be used to prevent overplotting.
0和1之间的数值给出的水平的透明度，颜色，或NULL。这可以被用来防止overplotting。
参数：...
further arguments and graphical parameters to be passed to pairsVIM and marginplot. par("oma") will be set appropriately unless supplied (see par).
进一步的论据和图形参数被传递到pairsVIM和marginplot。 par("oma")将设置适当的，除非提供（见par）。
参数：hscale
horizontal scale factor for plot to be embedded in a Tcl/Tk window (see "Details"). The default value depends on the number of variables.
被嵌入的Tcl / Tk的窗口（见“详细信息”）的地积比例因子水平。默认值取决于变量的数目。
参数：vscale
vertical scale factor for the plot to be embedded in a Tcl/Tk window (see "Details"). The default value depends on the number of variables.
垂直比例因子的图，被嵌入的Tcl / Tk的窗口（见“详细信息”）。默认值取决于变量的数目。
参数：TKRpar
a list of graphical parameters to be set for the plot to be embedded in a Tcl/Tk window (see "Details" and par).
图形参数设置的列表的图，被嵌入的Tcl / Tk的窗口（见“详细信息和par”）。
Details
详细信息----------Details----------
marginmatrix uses pairsVIM with a panel function based on marginplot.
marginmatrix使用pairsVIM用面板功能的基础上marginplot。
The graphical parameter oma will be set unless supplied as an argument.
图形参数oma设置，除非作为参数提供。
TKRmarginmatrix behaves like marginmatrix, but uses tkrplot to embed the plot in a Tcl/Tk window. This is useful if the number of variables is large, because scrollbars allow to move from one part of the plot to another.
TKRmarginmatrix的行为就像marginmatrix，但使用tkrplot的Tcl / Tk的窗口嵌入的图。如果变量的数量非常大，因为滚动条允许的图从一个移动到另一个，这是非常有用的。
（作者）----------Author(s)----------
Andreas Alfons, modifications by Bernd Prantner
参考文献----------References----------
Exploring incomplete data using visualization tools. Journal of Advances in Data Analysis and Classification, Online first. DOI: 10.1007/s11634-011-0102-y.
参见----------See Also----------
marginplot, pairsVIM, scattmatrixMiss
marginplot，pairsVIM，scattmatrixMiss
实例----------Examples----------
data(sleep, package = "VIM")
## for missing values[＃遗漏值]
x <- sleep[, 1:5]
x[,c(1,2,4)] <- log10(x[,c(1,2,4)])
marginmatrix(x)
## for imputed values[＃估算值]
x_imp <- kNN(sleep[, 1:5])
x_imp[,c(1,2,4)] <- log10(x_imp[,c(1,2,4)])
marginmatrix(x_imp, delimiter = "_imp")
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。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-10-1 16:06:32
