Comments (3)
There are two ways:
library(survey)
data(api)
dstrat <- svydesign(id = ~1, strata =~ stype, weights =~ pw,
data = apistrat, fpc =~ fpc)
regmodel <- svyglm(api00 ~ ell * meals, design = dstrat)
attr(summ(regmodel), "rsq")
or
broom::glance(summ(regmodel))$r.squared
glance()
might be more reliable in case I ever change what the attribute is called, but either should be fine.
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Great! Thanks.
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I'm trying to use this solution for "arsq" but while the "rsq" solution works perfectly, I get NA when I substitute "arsq" despite the fact that an adjusted R2 value is displayed in the full summ print out.
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