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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
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Validation of Models with Different Scale Data [duplicate]
My top choices right now are R^2, RMSE, and variance. … However, R^2 seems to be the only option that works best in my opinion because it doesn't seem to take into account the scale of the data but wondering if there are options such as normalizing the numbers …
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1
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How do the random effects relate to the fixed effects in the output from a mixed model?
When I run my output from the lmer function for random effects, I get something like this:
form_lmer1 <- "y ~ 1 + Var1 + (1+Var1 | group)"
fm3 <- lmer(as.formula(form_lmer1), df, REML=FALS …
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2
answers
121
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Validation of Models with Different Scale Data
My top choices right now are R^2, RMSE, and variance. … However, R^2 seems to be the only option that works best in my opinion because it doesn't seem to take into account the scale of the data but wondering if there are options such as normalizing the numbers …
1
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0
answers
334
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Fourier Output Meaning
This output is 0.541298 where the r-output is 0.1201. …