interact.varobj(vardiag)
interact.varobj()所属R语言包：vardiag
Interactive Identification of Points in a Variogram Diagnostics
互动的变异函数的诊断鉴别要点
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Initiates selection of points in a Variogram Diagnostics Plot.
启动点的变异函数诊断图的选择。
用法----------Usage----------
interact.varobj(v, region = 0, g = "s", pchi = 0.05, zmv = 0)
参数----------Arguments----------
参数：v
A variogram object
一个变异函数对象
参数：region
a n by 2 matrix of vertices of a polygon, which represents the region of interest.
由2的多边形的顶点的，它代表感兴趣区域的矩阵。
参数：g
the type of interaction with the following options:
交互类型与下列选项：
lselection of a point in the leave-one-out plot.
l选择留一出图中的一个点。
mselection of one or two points in the map view. After selection of one point the selection process can be stopped by a right mouse click.
mselection在图视图中的一个或两个点。在选择一个点的选择过程可以通过单击鼠标右键停止。
nselection of a polygon region in the map view. This can be done by left clicking on the vertices of the polygon and stopping by a right mouse click.
nselection在图视图中的多边形区域。这可以通过左击鼠标右键单击多边形的顶点和停止。
sselection of a point in the studentized square root cloud.
sselection的学生化的平方根云中的一个点。
tselection of a polygon region in the studentized square root cloud. This can be done by left clicking on the vertices of the polygon and stopping by a right mouse click.
tselection在学生化的平方根云的多边形区域。这可以通过左击鼠标右键单击多边形的顶点和停止。
xselection of all points in the studentized square root cloud outside an approximate confidence bound with significance level given by pchi.
xselection的所有点的学生化的平方根云外的近似置信pchi给定的显着性水平的约束。
参数：pchi
the significance level of the confidence bounds, if option g="x" is given.
显着性水平的置信区间，如果选项“g="x"。
参数：zmv
the value of zmv determines which values will be ploted as third dimension (via circles with radius corresponding to the value) in the map view. The following values are possible:
的值zmv判定值将作为第三个维度（通过的值相对应的圆的半径）在图视图中ploted。下面的值是可能的：
0no third dimension,
0no第三个维度，
1values of the original observations,
1以上数值的原始观测，
2Cook's distances,
2Cook的距离，
3reduction in lack of fit.
在缺乏适合3reduction。
Details
详细信息----------Details----------
Before the call of this function a diagnostic plot must be created by a call to the function PlotDiag.varobj.
在调用这个函数之前的诊断图必须创建一个调用的功能PlotDiag.varobj。
If one point in the map view is selected, this point is marked blue and the index of this observation is printed near the point. All corresponding points in the square root cloud and the leave-one-out plot are marked blue.
如果选择在图视图中的一个点，这个点被标记为蓝色，这种观察的指标是印点附近。所有对应点的平方根云和留一出图被标记为蓝色。
If two points in the map view (or one point in the square root cloud or in the leave-one-out plot) are selected, this pair of points is joined by a magenta line and the corresponding point in the square root cloud is marked magenta. One of the selected points in the map view and all corresponding points in the square root cloud and the leave-one-out plot are marked blue. The other selected point in the map view and all corresponding points in the square root cloud and the leave-one-out plot are marked red.
如果两个点在图视图中选择（或平方根云或留一离开图中的一个点），这点对接合由品红线和被标记为在平方根云中的对应点的洋红色。在图视图中选择的点和所有对应点的平方根云和留一出图被标记为蓝色。其他选择的点在图视图中的所有对应点的平方根云和留一出图被标记为红色。
If a region is selected in the map view, all possible pairs of points within the region are joined by magenta lines and for each pair the corresponding point in the square root cloud is marked magenta.
如果一个区域在图视图中，选择所有可能对区域内的点连接洋红色线，每对对应点中的平方根云的标记品红。
If a region in the square root cloud is selected, all points within that region are marked magenta and all corresponding pairs of points in the map view are joined by magenta lines.
如果一个区域中的平方根云的选择，该区域内的所有点标品红和所有对应的点在图视图中都加入了洋红色线条。
If option g="x" is selected, all points in the square root cloud outside the chosen confidence bound are marked magenta and all corresponding pairs of points in the map view are joined by magenta lines.
如果选项“g="x"的平方根云外所选择的信心必然选择，所有的点标记品红和所有对应的点在图视图中都加入了洋红色线条。
值----------Value----------
the index of the selected pair of observations.
选定对观测值的索引。
（作者）----------Author(s)----------
Ernst Glatzer
参考文献----------References----------
参见----------See Also----------
PlotDiag.varobj
PlotDiag.varobj
实例----------Examples----------
data(tulln)
PlotDiag.varobj(vs50,region=tu1)
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 14:23:02
