Class "Outlier" – a base class for outlier identification
类“离群” - 的一个基类为异常值识别
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The class Outlier represents the results of outlier identification.
类Outlier表示异常值识别的结果。
类对象----------Objects from the Class----------
A virtual Class: No objects may be created from it.
可能会从它创建一个虚拟类:没有对象。
插槽----------Slots----------
call: Object of class "language"
call:对象类"language"的
counts: Number of observations in each class
counts:在每个类的观测数
grp: Grouping variable
grp:分组变量
wt: Vector of weights
wt:权重向量
flag: 0/1 flags identifying the outliers
flag:0/1标志识别异常值
method: A character string specifying the method used to identify the outliers. In case of OutlierMahdist class this is the name of the robust estimator
method:一个字符串指定的方法,用于识别异常值。在的情况下,OutlierMahdist类的名字是强劲的估计
singularity: a list with singularity information for the covariance matrix (or NULL
singularity:的协方差矩阵的奇异性信息的列表(或NULL
方法----------Methods----------
getClassLabels Returns a vector with indices for a given class
getClassLabels返回一个向量,对于一个给定的类指数
getDistance Returns a vector containing the computed distances
getDistance的返回一个包含计算距离向量
getFlag Returns the flags identifying the outliers
getFlag返回的标志,识别异常值
getOutliers Returns a vector with the indices of the identified outliers
getOutliers返回一个向量与所确定的异常值的指数,其中
getWeight Returns a vector of weights
getWeight返回一个矢量的权重
An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. URL http://www.jstatsoft.org/v32/i03/.
Robust tools for the imperfect world, To appear.