R语言 simsem包 SimParam-class()函数中文帮助文档(中英文对照)

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SimParam-class(simsem)
SimParam-class()所属R语言包：simsem

                                        Class "SimParam"
                                         类“SimParam”

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Set of vectors and matrices that saves free parameters (CFA, Path analysis, or SEM)
设置，节省参数向量和矩阵（CFA，通径分析，扫描电镜）


类对象----------Objects from the Class----------

Object can be created by simParamCFA, simParamPath, or simParamSEM, for CFA, Path analysis, or SEM model, respectively. Objects can be also created by calls of the form new("SimParam", ...).
simParamCFA，simParamPath或simParamSEM，CFA，通径分析，SEM模型，分别可以创建对象。也可以创建对象通过调用的形式new("SimParam", ...)。


插槽----------Slots----------




modelType: Model type (CFA, Path, or SEM)
modelType：型号（CFA，路径，或SEM）




LY: Factor loading matrix between endogenous factors and Y indicators
LY：因子载荷矩阵内源性因素和Y指标




TE: Covariance matrix between Y measurement error
TE：Y测量误差之间的协方差矩阵




PS: Residual covariance of endogenous factors  
PS：剩余协方差的内生因素




BE: Regression effect among endogenous factors
BE：回归之间的内生因素的影响




TY: Measurement intercepts of Y indicators
TY：Y的指标的测量拦截




AL: Factor intercepts of endogenous factors
AL：内源性因素的因子拦截




LX: Factor loading matrix between exogenous factors and X indicators
LX：因子载荷矩阵之间的外生因素和X指标




TD: Covariance matrix between X measurement error
TD：X测量误差之间的协方差矩阵




PH: Covariance among exogenous factors
PH：外生因素之间的协方差




GA: Regreeion effect from exogenous factors to endogenous factors
GA：Regreeion外源性因素的影响，内生因素




TX: Measurement intercepts of X indicators
TX的X指标：测量拦截




KA: Factor Mean of exogenous factors
KA因子的平均外生因素




TH: Measurement error covariance between X indicators and Y indicators
TH：X指示标志和Y指标的测量误差之间的协方差


方法----------Methods----------




summary Get the summary of model specification.
总结取得型号规格的总结。




extract Extract elements from a simSet. There are several additional arguments. First, if yOnly is TRUE, then the result will provide only Y side. Second, y is the index of indicators in Y side to be extracted. Third, e is the index of factors in Y side to be extracted. Fourth, x is the index of the indicators in X side to be extracted. Finally, k is the index of the factors in X side to be extracted.
提取提取从simSet元素。还有几个额外的参数。首先，yOnly如果是TRUE，那么结果将只提供Y侧。其次，y是要提取的Y侧的指标指数。三，e是要提取的因素，在Y侧的索引。四，x是该指数的指标在X方要提取。最后，k是要提取的因素在X侧的索引。


（作者）----------Author(s)----------



Sunthud Pornprasertmanit (University of Kansas; <a href="mailto:psunthud@ku.edu">psunthud@ku.edu</a>)




参见----------See Also----------

Create an object this class by CFA, Path Analysis, or SEM model by simParamCFA, simParamPath, or simParamSEM, respectively.
创建一个对象，这个类由终审法院，路径分析，SEM模型simParamCFA，simParamPath或simParamSEM“。

See how to use this object for data analysis by simModel.
请参阅如何使用这个对象的数据分析simModel。


实例----------Examples----------


showClass("SimParam")

library(lavaan)
loading <- matrix(0, 9, 3)
loading[1:3, 1] <- NA
loading[4:6, 2] <- NA
loading[7:9, 3] <- NA
HS.Model <- simParamCFA(LX = loading)
summary(HS.Model)
SimModel <- simModel(HS.Model, indLab=paste("x", 1:9, sep=""))
out <- run(SimModel, HolzingerSwineford1939)
summary(out)

HS.Model2 <- extract(HS.Model, y=1:3)
summary(HS.Model2)

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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