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It will be important to add where to find documentation and how to use it.
Some thoughts from the Spring Seminar:
[Workshop 1 Survey] We used a couple of things that we didn't talk much about: weights, standard errors, quasibinomial "family" of models. Can you point us toward the documentation or resources that would allow us to learn more? In particular, it's hard to "check our work" with non-srvyr package commands without knowing how weights are being used or standard errors are being calculated.
[Workshop 2 Survey] Consider providing resources, in addition to the package documentation, for those who would like go further with the day's topic. Obviously, it's hard to know which direction(s) a learner would like to know next. Still, it would be good to point to resources that push just slightly past the day's overview.
Some specific things to add:
[Workshop 2 notes] Question about the na.action arg. Does anyone have an example of doing something other than na.omit? Is that a place where you can add an imputation function for missing data?
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It will be important to add where to find documentation and how to use it.
Some thoughts from the Spring Seminar:
Some specific things to add:
na.action
arg. Does anyone have an example of doing something other than na.omit? Is that a place where you can add an imputation function for missing data?Beta Was this translation helpful? Give feedback.
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