R语言 flowViz包 glpolygon-methods()函数中文帮助文档(中英文对照)

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glpolygon-methods(flowViz)
glpolygon-methods()所属R语言包：flowViz

                                         Drawing filter regions
                                         绘制滤波器区域

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

These methods extend the lattice lpolygon  methods for drawing of filter regions. They allow for multiple dispatch, since not all filter types need to be evaluated for
这些方法延长格子lpolygon区域绘图filter方法。他们允许多个调度，因为不是所有的filter类型需要进行评估


Details

详情----------Details----------

When plotting flowFrames using the any of  the lattice-type plot method provided by flowViz, the plotted parameters are recorded, which makes it possible to correctly overlay the outlines of filter assuming that  they are defined for the respective parameters. Warnings and error will be cast for the cases where the parameters are non-distinct or ambigious. These methods are meant to be used within lattice panel
当绘图flowFrames使用格子型plot方法提供任何flowViz，绘制参数都记录下来，这使得它能够正确地叠加的的filter轮廓假设它们各自的参数定义。警告和错误，将被抛弃的情况下，其中的参数是不鲜明或ambigious。这些方法都意味着内晶格面板的使用


值----------Value----------

The methods will return the outlines of the gate region as
该方法将返回门区域的轮廓


方法----------Methods----------




x = "filter", data = "missing"  General method for all objects inheriting from filter. This is used as the default when no more explicit method is found. It tries to find the plotted parameters from the internal flowViz.state environment. This only works if the flow data has been plotted using the plot methods provided by this
=“过滤器”，数据“丢失”的所有对象继承从filter通用方法。这是作为默认时，发现没有更明确的方法。它试图找到从内部flowViz.state环境绘制的参数。这只有当流量数据已经绘制使用plot此提供的方法




x = "filterResult", data = "missing"  General method for all filterResult object. This basically  extracts the filter from the filterResult and dispatches on
X =“filterResult”，数据“丢失”的所有filterResult对象的通用方法。这基本上提取filter和调度上filterResult




x = "filterResult", data = "flowFrame"  For some filter types we need the raw data
X =“filterResult”，数据=的“flowFrame”对于一些filter类型，我们需要的原始数据




x = "curv1Filter", data = "ANY"  We either need a filterResult or the raw data as a  flowFrame for
X =“curv1Filter”数据=“任何”我们需要一个filterResultflowFrame或原始数据




x = "curv1Filter", data = "flowFrame"  see above
X =“curv1Filter”，数据=的“flowFrame”见上面




x = "curv1Filter", data = "missing"  see above
=“curv1Filter”，数据“失踪”见上面




x = "curv1Filter", data = "multipleFilterResult"  see above
X =“curv1Filter”，数据=的“multipleFilterResult”见上面




x = "curv2Filter", data = "ANY"  We either need a filterResult or the raw data as a  flowFrame for
X =“curv2Filter”数据=“任何”我们需要一个filterResultflowFrame或原始数据




x = "curv2Filter", data = "flowFrame"  see above
X =“curv2Filter”，数据=的“flowFrame”见上面




x = "curv2Filter", data = "multipleFilterResult"  see above
X =“curv2Filter”，数据=的“multipleFilterResult”见上面




x = "kmeansFilter", data = "ANY"  We don't know how to plot regions of a kmeansFilter, hence we
=“kmeansFilter”，数据=“ANY”，我们不知道如何绘制一个kmeansFilter区域，因此我们




x = "norm2Filter", data = "ANY"  We either need a filterResult or the raw data as a  flowFrame for
X =“norm2Filter”数据=“任何”我们需要一个filterResultflowFrame或原始数据




x = "norm2Filter", data = "flowFrame"  see above
X =“norm2Filter”，数据=的“flowFrame”见上面




x = "norm2Filter", data = "logicalFilterResult"  see above
X =“norm2Filter”，数据=的“logicalFilterResult”见上面




x = "polygonGate", data = "character"  We can plot a polygonGate directly from the gate
X =“polygonGate”数据=“字符”，我们可以绘制直接从大门polygonGate




x = "polygonGate", data = "filterResult"  see above
X =“polygonGate”，数据=的“filterResult”见上面




x = "polygonGate", data = "flowFrame"  see above
X =“polygonGate”，数据=的“flowFrame”见上面




x = "quadGate", data = "character"  We can plot a quadGate directly from the gate
X =“quadGate”数据=“字符”，我们可以绘制直接从大门quadGate




x = "quadGate", data = "filterResult"  see above
X =“quadGate”，数据=的“filterResult”见上面




x = "quadGate", data = "flowFrame"  see above
X =“quadGate”，数据=的“flowFrame”见上面




x = "rectangleGate", data = "character"  We can plot a rectangleGate directly from the gate
X =“rectangleGate”数据=“字符”，我们可以绘制直接从大门rectangleGate




x = "rectangleGate", data = "filterResult"  see above
X =“rectangleGate”，数据=的“filterResult”见上面




x = "rectangleGate", data = "flowFrame"  see above
X =“rectangleGate”，数据=的“flowFrame”见上面




x = "ellipsoidGate", data = "character"  We can plot a rectangleGate directly from the gate
X =“ellipsoidGate”数据=“字符”，我们可以绘制直接从大门rectangleGate




x = "ellipsoidGate", data = "filterResult"  see above
X =“ellipsoidGate”，数据=的“filterResult”见上面




x = "ellipsoidGate", data = "flowFrame"  see above
X =“ellipsoidGate”，数据=的“flowFrame”见上面


作者（S）----------Author(s)----------


F. Hahne



参见----------See Also----------

filter, flowFrame, glpoints
filter，flowFrame，glpoints

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