将估算数据集从 SAS 转移到 R？

Question

嗨！ 我有 25 个来自 SAS 的估算数据集，我将这些数据集转移到 R 中。我想知道如何让 R 识别我的估算数据集并执行分析？ 以下是我到目前为止的一些代码：

df<-read.spss("IFS.sav",use.value.label=TRUE, to.data.frame=TRUE) #worked 

as.mids(long=df,.imp= "X_Imputation_" , .id="survyid" )#doesn't work, it asked me about original dataset. I don't understand why I need that, and i am not sure how to do it. 

with(data=analysis_final, exp=glm(......#this doesn't work. i am wondering how to perform analysis for each imputed dataset and use summary statistics? 

Answer 1

尝试：

attach(df)

要么

attach(*your data name values)

然后您将访问您的变量，您将能够运行汇总统计。

像：

mean(*variable name)

或任何统计分析。

这是一个可能对您有所帮助的视频。