FaCov(robustfa)
FaCov()所属R语言包：robustfa
Robust Factor Analysis
强大的因素分析
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Robust FA are obtained by replacing the classical covariance matrix by a robust covariance estimator. This can be one of the available in rrcov estimators, i.e., MCD, OGK, M, S, SDE, or MVE estimator.
强大的FA取代经典的协方差矩阵的鲁棒协方差估计。这可以是一个可用的rrcov估计，即，MCD，OGK，M，S，SDE，或MVE估计。
用法----------Usage----------
FaCov(x, ...)
## S3 method for class 'formula'[类formula的方法]
FaCov(formula, data = NULL, factors = 2, method = "mle", scoresMethod = "none", ...)
## Default S3 method:[默认方法]
FaCov(x, factors = 2, cov.control = CovControlMcd(), method = c("mle", "pca", "pfa"),
scoresMethod = c("none", "regression", "Bartlett"), ...)
参数----------Arguments----------
参数：x
A formula or a numeric matrix or an object that can be coerced to a numeric matrix.
一个公式或数字矩阵或对象可以强制转换为数字矩阵。
参数：...
Arguments passed to or from other methods.
传递的参数或其他方法。
参数：formula
A formula with no response variable, referring only to numeric variables.
没有响应变量的公式，只给数值变量。
参数：data
An optional data frame (or similar: see model.frame) containing the variables in the formula.
一个可选的数据框（或相似：model.frame），其中包含的变量在formula。
参数：factors
The number of factors to be fitted.
嵌合的因素的数量。
参数：method
The method of factor analysis, one of "mle" (the default), "pca", and "pfa".
因子分析法，其中的“最大似然估计”（默认值），“PCA”和“粉煤灰”。
参数：scoresMethod
Type of scores to produce, if any. The default is "none", "regression" gives Thompson's scores, "Bartlett" gives Bartlett's weighted least-squares scores.
分数类型，如果没有产生。默认值是"none"，"regression"给汤普森的成绩，"Bartlett"给巴特利特的加权最小二乘成绩。
参数：cov.control
Specifies which covariance estimator to use by providing a CovControl-class object. The default is CovControlMcd-class which will indirectly call CovMcd. If cov.control=NULL is specified, the classical estimates will be used by calling CovClassic.
指定使用的协方差估计提供CovControl-class对象。默认为CovControlMcd-class这将间接调用“CovMcd。如果cov.control=NULL指定，经典估计将被调用CovClassic。
Details
详细信息----------Details----------
FaCov, serving as a constructor for objects of class FaCov-class is a generic function with "formula" and "default" methods.
FaCov，作为一个构造函数的类的对象FaCov-class是一个通用的功能与“公式”和“默认”的方法。
值----------Value----------
An S4 object of class FaCov-class which is a subclass of the virtual class Fa-class.
S4对象的类FaCov-class这是虚拟类Fa-class的一个子类。
（作者）----------Author(s)----------
Ying-Ying Zhang (Robert) <a href="mailto:robertzhang@cqu.edu.cn">robertzhang@cqu.edu.cn</a>
参考文献----------References----------
参见----------See Also----------
FaClassic-class, FaCov-class, FaRobust-class, Fa-class
FaClassic-class，FaCov-class，FaRobust-class，Fa-class
实例----------Examples----------
data(stock611)
## facovRegOgk uses the default method[＃facovRegOgk使用的默认方法]
facovRegOgk=FaCov(x=scale(stock611[,3:12]), factors=3, cov.control = CovControlOgk(),
scoresMethod = "regression"); facovRegOgk
## facovForRegOgkMle uses the formula interface[＃facovForRegOgkMle使用式接口]
facovForRegOgkMle=FaCov(~., data=as.data.frame(scale(stock611[,3:12])), factors=3,
cov.control = CovControlOgk(), method = "mle", scoresMethod = "regression"); facovForRegOgkMle
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。
|
发表于 2012-9-27 22:18:30
