General
PromptBeginner5 minmarkdown
- `lowess` is the older function; returns `list(x
y)` — cannot predict at new points.
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y)` — cannot predict at new points.
convergence check fails — use `control = list(scaleOffset = 1)` or jitter data.
`forward`
use `car::Anova()` or set contrasts to `contr.sum`/`contr.helmert`.
`quasipoisson`) allow overdispersion — no AIC is computed.
logical
use the cbind trick or offset.
test = Chisq)` for deviance-based tests; `F` is invalid for non-Gaussian families.
`poisson(link = log)`
but slower and with deviance-based output).
`factorLevelName` concatenation.
`intercept`
`^` means interaction crossing.
reserved = FALSE)` by default does NOT encode reserved chars (`/`
`print`
gotchas
not factor.
integer
format = f
digits
`left`
1
`perl`
first