R中的SEM路径分析（变量标准化）(SEM

R中的SEM路径分析（变量标准化）(SEM-Path analysis in R (standardization of variables))

我正在R中运行plspm库，以便在我的模型中查找变量的直接效果和权重。 在：

sales_pls <- plspm(input_file, sales_path, sales_blocks, scheme = "centroid", scaled = TRUE, modes = sales_modes)

当我使用scaled = True R时，会自动通过X-μ/σ进行标准化。

我的问题是，如果我用最大值标准化我的数据并设置scaled = FALSE，输出中的权重将参考标准化的原始数据或它们将参考标准化（X-μ/σ）数据？

谢谢

I am running the plspm library in R in order to find the direct effects and the weights of my variables in my model. In :

sales_pls <- plspm(input_file, sales_path, sales_blocks, scheme = "centroid", scaled = TRUE, modes = sales_modes)

when i use scaled = True R automatically does standardization by X-μ/σ .

My question is if i normalize my data with the maximum value and set scaled = FALSE, the weights in the output will refer on the raw data which is normalized or they will refer on the standardized (X-μ/σ) data?

Thanks

最满意答案

它们将引用标准化的原始数据。

They will refer to raw data which is normalized.