R语言 VisCov包 panelSelectMultiple()函数中文帮助文档(中英文对照)

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panelSelectMultiple(VisCov)
panelSelectMultiple()所属R语言包：VisCov

                                        Selecting panels from several distributions
                                         选择从数分布的板

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

To draw the selected panels from several distributions generated by VisCov.
要绘制选定的面板数分布所产生的VisCov。


用法----------Usage----------


panelSelectMultiple(selected.condition, CovPlotDataMultiple, range.logical.contour = FALSE,
                    range.logical.all = TRUE, row = FALSE)



参数----------Arguments----------

参数：selected.condition
a vector of strings containing types of the panels that one wishes to select: For layer 1, "vari", "cor"; for layer 2, "scatter1", "scatter2", "scatter3", "scatter4", "scatter5"; for layer 3, "contour", "threeD"; for layer 4, "Effective.Variance", "Effective.Dependence", "Effective.Dependence.submatrix"
一个向量的字符串类型的面板的意愿选择：对于第1层，“变”，“肺心病”，为第2层“，”scatter1“中，”scatter2“中，”scatter3“，” ，“scatter4”“scatter5”;层3，“轮廓”，“threeD”;层4，“Effective.Variance”，“Effective.Dependence”，“Effective.Dependence.submatrix”


参数：CovPlotDataMultiple
a list of objects returned by VisCov
返回的对象列表的VisCov


参数：range.logical.all
a logical value indicating whether the ranges in the panels are set as the same over different sets of samples. For the histograms, the ranges of frequencies are set as the same over the different sets of samples
一个逻辑值，该值指示的范围是否被设定为相同的面板中对各组不同的样品。对于直方图，频率的范围内，被设定为相同的，在不同的样本集


参数：range.logical.contour
a logical value indicating whether the ranges of the contour plots are set as the same over different sets of samples when range.logical.all is TRUE
一逻辑值，表示的范围是否被设置为相同的等高线图，对各组不同的样本，当range.logical.all是TRUE


参数：row
a logical value whether the panels belonging to the same set of samples are arranged in the same row. If it is FALSE, they are arranged in the same column
是否属于相同的一组样本的面板被布置在同一行中的一个逻辑值。如果它是FALSE时，它们被布置在同一列中


参考文献----------References----------



实例----------Examples----------


distribution = "Inverse Wishart"
dim = 4
param = list(prob = 0.5, dim = dim, nu = dim+1, scaleCov = diag(1,dim))
CovPlotData1 = VisCov(distribution, param, title.logical = FALSE)
distribution = "Inverse Wishart"
dim = 4
param = list(prob = 0.5, dim = dim, nu = dim+50, scaleCov = diag(1,dim))
CovPlotData2 = VisCov(distribution, param, title.logical = FALSE)
selected.condition = c("scatter1", "scatter4", "contour", "Effective.Dependence")
panelSelectMultiple(selected.condition, list(CovPlotData1, CovPlotData2))

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


注：
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