plot.SemiParSampleSel(SemiParSampleSel)
plot.SemiParSampleSel()所属R语言包：SemiParSampleSel
SemiParSampleSel plotting
SemiParSampleSel策划
译者：生物统计家园网 机器人LoveR
描述----------Description----------
It takes a fitted SemiParSampleSel object produced by SemiParSampleSel() and plots the component smooth functions that make it up on the scale of the linear predictor.
这需要一个装有SemiParSampleSel对象SemiParSampleSel()和图的组成部分平滑功能，使其上规模的线性预测。
用法----------Usage----------
## S3 method for class 'SemiParSampleSel'
plot(x, eq, select, rug=TRUE, se=TRUE, se.l=1.95996, seWithMean=FALSE,
n=100, xlab = NULL, ylab=NULL, zlab=NULL, xlim=NULL, ylim = NULL,
main=NULL, trans = I, n2 = 40, theta = 30, phi = 30, too.far = 0.1, ...)
参数----------Arguments----------
参数：x
A fitted SemiParSampleSel object as produced by SemiParSampleSel().
一个装有SemiParSampleSel对象产生的SemiParSampleSel()。
参数：eq
The equation from which smooth terms should be considered for printing.
光滑的条款，应考虑印刷的公式。
参数：select
The smooth component to be considered for printing.
被认为是印刷平滑分量。
参数：rug
If TRUE (default), then the covariate to which the plot applies is displayed as a rug plot at the foot of each plot of a 1-D smooth.
如果TRUE（默认），然后协变量的图显示在脚下的地毯小区，每个小区的1-D平滑。
参数：se
If TRUE (default), then Bayesian "confidence" intervals are added to 1-D plots at se.l standard errors above and below the estimate of the smooth being plotted.
如果TRUE（默认），然后贝叶斯自信的间隔中加入se.l标准错误的上方和下方的估计顺利被绘制在1-D图。
参数：se.l
Significance level.
显着性水平。
参数：seWithMean
If TRUE, then the component smooth is shown with confidence intervals that include the uncertainty about the overall mean. If FALSE, then the uncertainty relates purely to the centred smooth itself.
如果TRUE，然后组件光滑的置信区间，其中包括不确定性的总体平均。 FALSE如果，那么的不确定性纯粹是有关中心的光滑。
参数：n
Number of points used for each 1-D plot.
用于每一个1-D的图点。
参数：xlab
If supplied, then this is used as the x label.
如果提供的话，那么这是作为x标签使用。
参数：ylab
If supplied, then this is used as the y label.
如果提供的话，那么这是作为y标签使用。
参数：zlab
If supplied, then this is used as the z label for 2-D smooths.
如果提供的话，那么这是用作用于2-D的z标签平滑。
参数：xlim
If supplied, then this pair of numbers are used as the x limits for 2-D smooths.
如果提供的话，那么这对数字被用作用于2-D平滑的x限制。
参数：ylim
If supplied, then this pair of numbers are used as the y limits.
如果提供的话，那么这对数字被用于作为y的限制。
参数：main
If supplied, then this is used as title.
如果提供，那么这是作为标题。
参数：trans
Function to apply to each smooth before plotting.
功能打印之前，适用于各平滑。
参数：n2
Square root of number of points used to grid estimates of 2-D functions.
格估计的2-D功能点的数量的平方根。
参数：theta
One of the perspective plot angles.
之一的角度图角。
参数：phi
The other perspective plot angle.
另一个角度图角度。
参数：too.far
When plotting 2-D smooths, if greater than 0, then it is used to determine when a location is too far from data to be plotted. The data are scaled into the unit square before deciding what to exclude, and too.far is a distance within the unit square.
当绘制的2-D平滑，如果大于0，那么它被用来确定何时一个位置是从数据被绘制太多。的数据缩放到单位正方形，然后才决定要排除的，too.far是单位面积内的距离。
参数：...
Other graphics parameters to pass on to plotting commands.
其他的图形参数传递到绘图命令。
Details
详细信息----------Details----------
This function produces plot showing the smooth terms of a fitted semiparametric bivariate sample selection model. For plots of 1-D smooths, the x axis of each plot is labelled using the name of the regressor, while the y axis is labelled as s(regr,edf) where regr is the regressor name, and edf the estimated degrees of freedom of the smooth. As for 2-D smooths, perspective plots are produced with the x-axes labelled with the first and second variable names and the y axis is labelled as s(var1,var2,edf), which indicates the variables of which the term is a function and the edf for the term.
该函数产生一个装有半参数二元样本选择模型顺利条款的图。对于图1-D平滑，x轴的每个小区使用的回归量的名称，而y轴被标记为s(regr,edf)其中regr是回归量的名称，和<X标记>估计的顺利程度的自由。对2-D平滑，透视图与x轴与第一和第二的变量名和y轴被标记为edf，这表明，该术语是一个函数，变量标记产生s(var1,var2,edf)的术语。
If seWithMean=TRUE, then the confidence intervals include the uncertainty about the overall mean. That is, although each smooth is shown centred, the confidence intervals are obtained as if every other term in the model was constrained to have average 0 (average taken over the covariate values) except for the smooth being plotted. The theoretical arguments and simulation study of Marra and Wood (2012) suggests that seWithMean=TRUE results in intervals with close to nominal frequentist coverage probabilities.
如果seWithMean=TRUE，然后置信区间的不确定性，整体平均。也就是说，尽管，各平滑所示中心，置信区间得到受到限制，如果在模型中的每个其他术语的平均0（平均接管协变量值）除外顺利被绘制。的马拉和Wood（2012）的理论论证和仿真研究表明，seWithMean=TRUE的时间间隔接近标称频率统计覆盖概率的结果。
This function is pretty similar to plot.gam in mgcv.
此功能是非常相似plot.gammgcv。
值----------Value----------
The function generates plots.
该函数产生的图。
警告----------WARNING----------
The function can not deal with smooths of more than 2 variables.
该函数不能处理超过2个变量与平滑。
（作者）----------Author(s)----------
Maintainer: Giampiero Marra <a href="mailto:giampiero@stats.ucl.ac.uk">giampiero@stats.ucl.ac.uk</a>
参考文献----------References----------
参见----------See Also----------
InfCr, SemiParSampleSel, summary.SemiParSampleSel
InfCr，SemiParSampleSel，summary.SemiParSampleSel
实例----------Examples----------
## see examples for SemiParSampleSel[＃例子SemiParSampleSel]
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。
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发表于 2012-9-30 00:36:42
