My question is how to conduct more analysis after setting up a survey design? or how to conduct analysis based on complex survey data. I know some r packages or some commands supporting for these, such as survey package in r, svy using stata, multilevel using mplus. But I found these basically supporting analysis such as regression, correction or something like that. What if about doing other analysis?
Is there any way to conduct some analysis such as calculating growth curve velocity or something like that with survey data with stratification and clustering? or how to add weight when doing these analysis?
For example, here is the simple dataframe:
Data
Maybe I am taking your example too literally, but if that is your actual data set, I would caution against any complex analysis. Your example shows only 9 cases, and 3 of them get zero weight so in effect you have n=6. Those 6 cases have an extreme positive skew on Y, and the variance in the weights is also quite large (with a range of 0.1 to 5.0). If those issues apply to your actual data, your options for analysis are rather limited.
If that is not your actual data set, I apologize for misunderstanding, and for not having any suggestions that address your question directly.
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