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.
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