findFactorTotalVar(simsem)
findFactorTotalVar()所属R语言包:simsem
Find factor total variances from regression coefficient matrix, factor (residual) correlations, and factor residual variances
从回归系数矩阵,因子(剩余)的相关性,和因子残留的差异,查找因素的总变异
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Find factor total variances from regression coefficient matrix, factor (residual) correlation matrix, and factor residual variances for latent variable models. In the path analysis model, this function will find indicator total variances from regression coefficient, indicator (residual) correlation matrix, and indicator residual variances.
从回归系数矩阵,因子(剩余)相关矩阵,剩余的差异和因素对潜变量模型的因子总方差。在路径分析模型,此功能将指标总方差回归系数指标(剩余)相关矩阵和指标的残余差异。
用法----------Usage----------
findFactorTotalVar(beta, corPsi, residualVarPsi)
参数----------Arguments----------
参数:beta
Regression coefficient matrix
回归系数矩阵
参数:corPsi
Factor or indicator residual correlations.
因素或指标残余的相关性。
参数:residualVarPsi
Factor or indicator residual variances.
因素或指标的残余差异。
值----------Value----------
A vector of factor (indicator) total variances
一个向量的因素(指标)总变异
(作者)----------Author(s)----------
Sunthud Pornprasertmanit (University of Kansas; <a href="mailto:psunthud@ku.edu">psunthud@ku.edu</a>)
参见----------See Also----------
findIndIntercept to find indicator (measurement) intercepts
findIndIntercept找到指标(测量)拦截
findIndMean to find indicator (measurement) total means
findIndMean找到指标(测量)总装置
findIndResidualVar to find indicator (measurement) residual variances
findIndResidualVar找到指标(测量)残留的差异
findIndTotalVar to find indicator (measurement) total variances
findIndTotalVar找到指标(测量)总变异
findFactorIntercept to find factor intercepts
findFactorIntercept因素拦截
findFactorMean to find factor means
findFactorMean找到因素手段
findFactorResidualVar to find factor residual variances
findFactorResidualVar因素残余差异
findFactorTotalCov to find factor covariances
findFactorTotalCov因素的协方差
实例----------Examples----------
path <- matrix(0, 9, 9)
path[4, 1] <- path[7, 4] <- 0.6
path[5, 2] <- path[8, 5] <- 0.6
path[6, 3] <- path[9, 6] <- 0.6
path[5, 1] <- path[8, 4] <- 0.4
path[6, 2] <- path[9, 5] <- 0.4
facCor <- diag(9)
facCor[1, 2] <- facCor[2, 1] <- 0.4
facCor[1, 3] <- facCor[3, 1] <- 0.4
facCor[2, 3] <- facCor[3, 2] <- 0.4
residualVar <- c(1, 1, 1, 0.64, 0.288, 0.288, 0.64, 0.29568, 0.21888)
findFactorTotalVar(path, facCor, residualVar)
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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