cfi ## 161.889 53.000 10261.913 0.908 0.083 0.932 绘制路径图(注意箭头指向,说明了因果关系): library(semPlot 0.564 # fitMeasures(fit, fit.measures = c("chisq","df","aic","gfi","rmsea","cfi")) 画图: library(semPlot Using R for Social Work Research R语言医学多元统计分析,赵军、戴静毅 lavaan包官方tutorial http://sachaepskamp.com/files/semPlot.pdf
"rcorr" library(psych) library(lavaan) library(semTools) library(haven) library(ggcorrplot) library(semPlot
绘制路径图(结果与书中一致),这个semPlot功能很强大,以后再详细介绍: library(semPlot) semPaths(fit ,what = 'col' # 线条用不同的颜色表示
首先,我们看下需要安装的包: install.packages("lavaan") install.packages("semPlot") install.packages("semTools") 接下来我们看下在此包中回归方程的几种表示形式