Fa-class(robustfa)
Fa-class()所属R语言包：robustfa
Class "Fa"
类“法”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Class "Fa" is a virtual base class for all classical and robust FA classes. "Fa" searves as a base class for deriving all other classes representing the results of the classical and robust Factor Analysis methods.
类"Fa"是一个虚基类的所有经典和强大的FA类。 "Fa"的searves为代表的古典和强大的因子分析方法的结果所产生的所有其他类的基类。
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" an unevaluated function call
call：类"language"一个未计算的函数调用的对象
converged: Object of class "Ulogical" a logical character indicates whether the iterations converged
converged类的对象"Ulogical"一个逻辑字符表示的迭代是否融合
loadings: Object of class "matrix" the matrix of variable loadings
loadings：类的对象"matrix"的矩阵变载荷
communality: Object of class "Uvector" the communality
communality：对象的类"Uvector"共同性
uniquenesses: Object of class "vector" the uniquenesses computed
uniquenesses：计算对象类"vector"的独特性，
correlation: Object of class "matrix" the correlation matrix
correlation：对象类"matrix"的相关系数矩阵
criteria: Object of class "Unumeric". The results of the optimization: the value of the negative log-likelihood and information on the iterations used.
criteria：对象的类"Unumeric"。优化的结果：的值的负对数似然和信息所使用的迭代。
factors: Object of class "numeric" the number of factors
factors：类的对象"numeric"多项因素
dof: Object of class "Unumeric". The number of degrees of freedom of the factor analysis model.
dof：对象的类"Unumeric"。的数目的因子分析模型的自由程度。
method: Object of class "character". The method: one of "mle", "pca", and "pfa".
method：对象的类"character"。的方法：“MLE”，“pca的”，和“粉煤灰”之一。
scores: Object of class "Umatrix". If requested, a matrix of scores.
scores：对象的类"Umatrix"。如果有要求，矩阵的分数。
scoresMethod: Object of class "character". The scores method: one of "none", "regression", and "Bartlett".
scoresMethod：对象的类"character"。的分数的方法：“无”，“倒退”，和“巴特利特”之一。
scoringCoef: Object of class "Umatrix" the matrix of scoring coefficients
scoringCoef：类的对象"Umatrix"的得分矩阵系数
meanF: Object of class "Uvector" the column means of scores
meanF：类的对象"Uvector"列的得分手段
corF: Object of class "Umatrix" the correlation matrix of the scores
corF：对象类"Umatrix"的相关系数矩阵的分数
STATISTIC: Object of class "Unumeric". The significance-test statistic, if it can be computed.
STATISTIC：对象的类"Unumeric"。的意义，检验统计量，如果它可以被计算出来。
PVAL: Object of class "Unumeric". The significance-test P value, if it can be computed.
PVAL：对象的类"Unumeric"。的意义检验P值，如果它可以计算。
n.obs: Object of class "numeric". The number of observations.
n.obs：对象的类"numeric"。的若干意见。
center: Object of class "Uvector". The center of the data.
center：对象的类"Uvector"。中心的数据。
eigenvalues: Object of class "vector" the eigenvalues
eigenvalues：对象类"vector"的特征值
cov.control: Object of class "UCovControl". Record the cov control method.
cov.control：对象的类"UCovControl"。记录覆盖控制方法。
方法----------Methods----------
getCenter signature(obj = "Fa"): center of the data
getCentersignature(obj = "Fa")的数据中心
getEigenvalues signature(obj = "Fa"): the eigenvalues of the covariance/correlation matrix
getEigenvalues signature(obj = "Fa")的协方差/相关矩阵的特征值
getFa signature(obj = "Fa"): returns an S3 list of class fa for compatibility with the function factanal(). Thus the standard screeplot() can be used.
getFa signature(obj = "Fa")：返回S3类列表fa的的功能factanal（）的兼容性。因此，可以使用标准screeplot（）。
getLoadings signature(obj = "Fa"): returns the matrix loadings
getLoadings signature(obj = "Fa")：返回矩阵的负荷
getQuan signature(obj = "Fa"): returns the number of observations used in the computation, i.e., n.obs
getQuan signature(obj = "Fa")：返回计算中使用的若干意见，即n.obs
getScores signature(obj = "Fa"): if requested, a matrix of scores.
getScores signature(obj = "Fa")：如果有要求，矩阵的分数。
getSdev signature(obj = "Fa"): returns the standard deviations of the factor analysis, i.e., the square roots of the eigenvalues of the covariance/correlation matrix
getSdev signature(obj = "Fa")：返回标准差的因素分析，即协方差/相关矩阵的特征值的平方根
plot signature(x = "Fa", y = "missing"): produces a scatterplot of the factor scores (if which = "factorScore") or shows the eigenvalues plot (if which = "screeplot")
图signature(x = "Fa", y = "missing")：生产各因子得分的散点图（如果=“factorScore”）显示，=“screeplot”图的特征值（如果）
predict signature(object = "Fa"): calculates prediction using the results in object. The newdata argument is an optional data frame or matrix in which to look for variables with which to predict. If newdata is omitted, the scores are used.
预测signature(object = "Fa")：计算预测使用对象的结果。 newdata参数是可选的数据框或矩阵中寻找变量，用以预测。如果省略newdata，分数使用。
print signature(x = "Fa"): prints the results. obj = print(obj) = show(obj)
打印signature(x = "Fa")：输出结果。 OBJ =打印（OBJ）=显示（OBJ）
show signature(object = "Fa"): prints the results. obj = print(obj) = show(obj)
显示signature(object = "Fa")：输出结果。 OBJ =打印（OBJ）=显示（OBJ）
summary signature(object = "Fa"): produce result summaries of an object of class "Fa".
总结signature(object = "Fa")：类对象的“法”产生结果的摘要。
（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----------
showClass("Fa")
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。
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发表于 2012-9-27 22:17:54
