qqplot(RobAStBase)
qqplot()所属R语言包：RobAStBase
Methods for Function qqplot in Package ‘RobAStBase’
方法函数qqplot在包RobAStBase“
译者：生物统计家园网 机器人LoveR
描述----------Description----------
We generalize function qqplot from package stats to be applicable to distribution and probability model objects. In this context, qqplot produces a QQ plot of data (argument x) against a (model) distribution. For arguments y of class RobModel, points at a high “distance” to the model are plotted smaller. For arguments y of class kStepEstimate, points at with low weight in the [p]IC are plotted bigger and their color gets faded out slowly. Graphical parameters may be given as arguments to qqplot.
我们概括函数qqplot包stats是适用于分布和概率模型对象。在这种情况下，qqplot产生的数据（参数x）反对（模型）分布的QQ图。对于参数y类RobModel，分在一个较高的“距离”的模型绘制更小。对于参数y类kStepEstimate，点，低体重[P] IC绘制更大的和他们的颜色会慢慢淡出。图形参数的参数qqplot。
用法----------Usage----------
qqplot(x, y, ...)
## S4 method for signature 'ANY,RobModel'
qqplot(x, y,
n = length(x), withIdLine = TRUE, withConf = TRUE,
withConf.pw = withConf, withConf.sim = withConf,
plot.it = TRUE, xlab = deparse(substitute(x)),
ylab = deparse(substitute(y)), ..., distance = NormType(),
n.adj = TRUE)
## S4 method for signature 'ANY,InfRobModel'
qqplot(x, y,
n = length(x), withIdLine = TRUE, withConf = TRUE,
withConf.pw = withConf, withConf.sim = withConf,
plot.it = TRUE, xlab = deparse(substitute(x)),
ylab = deparse(substitute(y)), ..., n.adj = TRUE)
## S4 method for signature 'ANY,kStepEstimate'
qqplot(x, y,
n = length(x), withIdLine = TRUE, withConf = TRUE,
withConf.pw = withConf, withConf.sim = withConf,
plot.it = TRUE, xlab = deparse(substitute(x)),
ylab = deparse(substitute(y)), ...,
exp.cex2.lbl = -.15,
exp.cex2.pch = -.35,
exp.fadcol.lbl = 1.85,
exp.fadcol.pch = 1.85,
bg = "white")
参数----------Arguments----------
参数：x
data to be checked for compatibility with distribution/model y.
要检查兼容性数据与分销/模型y。
参数：y
object of class "RobModel", of class "InfRobModel" or of class "kStepEstimate".
对象的类"RobModel"，类"InfRobModel"类"kStepEstimate"。
参数：n
numeric; number of quantiles at which to do the comparison.
数字;的位数做比较数。
参数：withIdLine
logical; shall line y = x be plotted in?
逻辑;行y = x绘制在吗？
参数：withConf
logical; shall confidence lines be plotted?
逻辑;信心线绘制呢？
参数：withConf.pw
logical; shall pointwise confidence lines be plotted?
逻辑，应逐点信心线绘制？
参数：withConf.sim
logical; shall simultaneous confidence lines be plotted?
逻辑;同时信心线绘制呢？
参数：plot.it
logical; shall be plotted at all (inherited from qqplot)?
逻辑，应绘制在所有（继承从qqplot）？
参数：xlab
x-label
X-标签
参数：ylab
y-label
Y-标签
参数：...
further parameters for method qqplot with signature ANY,ProbFamily (see qqplot) or with function plot
更多的参数的方法qqplot的签名ANY,ProbFamily（qqplot）或功能plot
参数：n.adj
logical; shall sample size be adjusted for possible outliers according to radius of the corresponding neighborhood?
逻辑;样本量调整为可能的异常值，根据相应附近半径？
参数：distance
a function mapping observations x to the positive reals; used to determine the size of the plotted points (the larger distance(x), the smaller the points are plotted.
一个函数映射观测x的正实数，使用的大小来确定的绘图点（较大的distance(x)，越小的点绘制。
参数：exp.cex2.lbl
for objects kStepEstimate based on a [p]IC of class HampIC: exponent for the weights of this [p]IC used to magnify the labels.
的对象kStepEstimate的基础上[P] IC类HampIC：指数的权重，这[P] IC放大的标签。
参数：exp.cex2.pch
for objects kStepEstimate based on a [p]IC of class HampIC: exponent for the weights of this [p]IC used to magnify the symbols.
的对象kStepEstimate的基础上[P] IC类HampIC：指数的权重，这[P] IC放大的象征。
参数：exp.fadcol.lbl
for objects kStepEstimate based on a [p]IC of class HampIC: exponent for the weights of this [p]IC used to find out-fading colors.
的对象kStepEstimate根据一个[P] IC类HampIC：指数的权重，这[P] IC用于找出褪色的色彩。
参数：exp.fadcol.pch
for objects kStepEstimate based on a [p]IC of class HampIC: exponent for the weights of this [p]IC used to find out-fading colors.
的对象kStepEstimate根据一个[P] IC类HampIC：指数的权重，这[P] IC用于找出褪色的色彩。
参数：bg
background color to fade against
背景颜色褪色反对
Details
详细信息----------Details----------
qqplotsignature(x = "ANY", y = "RobModel"): produces a QQ plot of a dataset x against the theoretical quantiles of distribution of robust model y.
qqplot signature(x = "ANY", y = "RobModel")：制作QQ图，对理论分布的分位数的强大的模型x的数据集y。
qqplotsignature(x = "ANY", y = "InfRobModel"): produces a QQ plot of a dataset x against the theoretical quantiles of distribution of infinitesimally robust model y.
qqplot signature(x = "ANY", y = "InfRobModel")：制作QQ图，对理论分布的分位数的无限强大的模型x的数据集y。
qqplotsignature(x = "ANY", y = "kStepEstimate"): produces a QQ plot of a dataset x against the theoretical quantiles of the model distribution of model at which the corresponding kStepEstimate y had been calibrated at. By default, if the [p]IC of the kStepEstimate is of class HampIC, i.e.; has a corresponding weight function, points (and, if withLab==TRUE, labels) are scaled and faded according to this weight function. Corresponding arguments exp.cex2.pch and exp.fadcol.pch control this scaling and fading, respectively (and analogously exp.cex2.lbl and exp.fadcol.lbl for the labels). The choice of these arguments has to be done on a case-by-case basis. Positive exponents induce fading, magnification with increasing weight, for negative exponents the same is true for decreasing weight; higher (absolute) values increase the speed of fading / magnification.
qqplot signature(x = "ANY", y = "kStepEstimate")：制作QQ图，相应的xkStepEstimate已校准在对理论模型的模型分布的分位数的数据集y。默认情况下，如果[P] IC的kStepEstimate类HampIC，即有相应的权重函数，点（如果withLab==TRUE，标签）的缩放和褪色根据该权重函数。相应的参数exp.cex2.pch和exp.fadcol.pch控制这个比例和衰落，分别为（和类似exp.cex2.lbl和exp.fadcol.lbl的标签）。这些参数的选择有许多工作要做在逐案基础。正指数与重量增加引起褪色，放大，负指数也是如此，以减少重量;高（绝对）值增加的速度衰减/放大。
值----------Value----------
As for function qqplot from package stats: a list with components <table summary="R valueblock"> <tr valign="top"><td>x</td> <td> The x coordinates of the points that were/would be plotted</td></tr> <tr valign="top"><td>y</td> <td> The corresponding quantiles of the second distribution, including NAs.</td></tr> </table>
至于函数qqplot包stats：组件的列表<table summary="R valueblock"> <tr valign="top"> <TD> x </ TD> < TD> /将绘制的点x坐标</ TD> </ TR> <tr valign="top"> <TD> y</ TD> <TD>相应位数的第二次分配，包括NA的。</ TD> </ TR> </ TABLE>
（作者）----------Author(s)----------
Peter Ruckdeschel <a href="mailto eter.Ruckdeschel@itwm.fraunhofer.de"> eter.Ruckdeschel@itwm.fraunhofer.de</a>
参考文献----------References----------
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
参见----------See Also----------
qqplot from package stats – the standard QQ plot function, qqplot from package distr for comparisons of distributions, and qqplot from package distrMod (which is called intermediately by this method), as well as qqbounds, used by qqplot to produce confidence intervals.
qqplot stats包qqplot - QQ绘图功能，distr包分布，比较qqplot从包装distrMod的 （这被称为中间通过该方法），以及qqbounds，所使用的qqplot产生置信区间。
实例----------Examples----------
qqplot(r(Norm(15,sqrt(30)))(40), Chisq(df=15))
RobM <- InfRobModel(center = NormLocationFamily(mean=13,sd=sqrt(28)),
neighbor = ContNeighborhood(radius = 0.4))
x <- r(Norm(15,sqrt(30)))(20)
qqplot(x, RobM)
qqplot(x, RobM, alpha.CI=0.9)
## further examples for ANY,kStepEstimator-method[＃更多的例子，kStepEstimator方法]
## in example to roptest() in package ROptEst[＃在的例子，roptest（）包ROptEst]
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 2012-9-27 19:56:48
