plot-methods(rrcov)
plot-methods()所属R语言包:rrcov
Methods for Function 'plot' in Package 'rrcov'
功能图在“rrcov包装方法”
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Shows the Mahalanobis distances based on robust and/or classical estimates of the location and the covariance matrix in different plots. The following plots are available:
显示马氏距离的基础上在不同图的位置和协方差矩阵的强大的和/或古典的估计。下面的图是:
- index plot of the robust and mahalanobis distances
- 指数曲线的鲁棒性和马氏距离
- distance-distance plot
- 距离 - 距离图
- Chisquare QQ-plot of the robust and mahalanobis distances
- 卡方QQ的鲁棒性和马氏距离图
- plot of the tolerance ellipses (robust and classic)
- 图的公差椭圆形(强大的和经典的)
- Scree plot - Eigenvalues comparison plot
- 卵石图 - 特征值比较图
用法----------Usage----------
## S4 method for signature 'CovClassic'
plot(x, which = c("all","distance","qqchi2","tolellipse","screeplot"),
ask=(which=="all" && dev.interactive()),
cutoff, id.n, tol=1e-7, ...)
## S4 method for signature 'CovRobust'
plot(x, which = c("all","dd","distance","qqchi2","tolellipse","screeplot"),
classic=FALSE, ask=(which=="all" && dev.interactive()),
cutoff, id.n, tol=1e-7, ...)
参数----------Arguments----------
参数:x
an object of class "Cov" or "CovRobust"
对象类"Cov"或"CovRobust",
参数:which
Which plot to show? See Details for description of the options. Default is which="all". </table>
的曲线图显示?的选项说明的详细信息。默认值是which=“所有”。 </ TABLE>
参数:classic
whether to plot the classical distances too. Default is classic=FALSE. </table>
是否绘制古典的距离。默认值是classic= FALSE。 </ TABLE>
参数:ask
logical; if 'TRUE', the user is asked before each plot, see 'par(ask=.)'. Default is ask = which=="all" && dev.interactive().
逻辑,如果TRUE,用户会被要求在每个小区前,请参阅“标准杆(问)。”。默认是ask = which=="all" && dev.interactive()。
参数:cutoff
The cutoff value for the distances.
临界值的距离。
参数:id.n
Number of observations to identify by a label. If not supplied, the number of observations with distance larger than cutoff is used.
若干意见识别标签。如果未提供,观察距离大于cutoff的数量。
参数:tol
tolerance to be used for computing the inverse see 'solve'. Default is tol = 10e-7
公差要用于计算逆见“解决”。默认是tol = 10e-7
参数:...
other parameters to be passed through to plotting functions.
其他参数被传递到绘图功能。
方法----------Methods----------
实例----------Examples----------
data(hbk)
hbk.x <- data.matrix(hbk[, 1:3])
cv <- CovClassic(hbk.x)
plot(cv)
rcv <- CovMest(hbk.x)
plot(rcv)
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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