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

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

                                         Drawing filter boundaries
                                         绘制滤波器的边界

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

These methods extend the basic graphics lines methods for drawing of filter boundaries. They allow for multiple dispatch, since not all filter types need to be evaluated for plotting, but this decision should be
这些方法延长lines边界绘制的基本图形filter方法。他们，因为并不是所有的filter类型需要进行评估的图，但这一决定应该允许多个调度


Details

详情----------Details----------

When plotting flowFrames using the plot or xyplot methods 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.
当绘图flowFrames使用plot或xyplot所提供的方法flowViz，绘制参数记录，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。

The flow parameters plotted can be passed on to any of the methods through the optional channels argument, which always gets precedence over automatically detected parameters.
绘制的流动参数，可以通过任何方法通过可选channels的说法，总是优先自动检测参数。

The methods support all plotting parameters that are available for the base lines functions.
该方法支持所有绘图参数baselines功能。


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 or xyplot 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或xyplot此提供的方法




x = "filterResult", data = "ANY"  General method for all filterResult object. This basically extracts the filter from the filterResult and
X =“filterResult”数据=“ANY”的所有filterResult对象的通用方法。这基本上提取从filter“的filterResult




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




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 outlines of a kmeansFilter, hence we
=“kmeansFilter”，数据=“ANY”，我们不知道如何绘制一个kmeansFilter的轮廓，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, gpoints
filter，flowFrame，gpoints

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