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129,145 skills indexed with the new KISS metadata standard.

Showing 24 of 129,145Categories: Creative, Data, General
General
PromptBeginner5 minmarkdownQuality: 24

- `anova(model1

model2)`: F-test comparing nested models.

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General
PromptBeginner5 minmarkdownQuality: 24

- Returns object with predict

print

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General
PromptBeginner5 minmarkdownQuality: 28

- Default method is Nelder-Mead (no gradients

robust but slow). Poor for 1D — use Brent or optimize().

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General
PromptBeginner5 minmarkdownQuality: 28

- predict.glm with type = response gives predictions on the response scale (e.g.

probabilities for logistic); type = link (default) gives on the link scale.

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General
PromptBeginner5 minmarkdownQuality: 24

- lowess parameter is f (span

default 2/3); loess parameter is span (default 0.75).

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General
PromptBeginner5 minmarkdownQuality: 24

- lowess is the older function; returns `list(x

y)` — cannot predict at new points.

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General
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- Direction: direction = both (default)

forward

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Data
PromptBeginner5 minmarkdownQuality: 28

- If data fits too exactly (no residual noise)

convergence check fails — use control = list(scaleOffset = 1) or jitter data.

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Creative
PromptBeginner5 minmarkdownQuality: 24

- Self-starting models (SSlogis

SSasymp

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Creative
PromptBeginner5 minmarkdownQuality: 28

- aov is a wrapper around lm that stores extra info for balanced ANOVA. For unbalanced designs

Type I SS (sequential) are computed — order of terms matters.

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General
PromptBeginner5 minmarkdownQuality: 24

- For Type III SS

use car::Anova() or set contrasts to contr.sum/contr.helmert.

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General
PromptBeginner5 minmarkdownQuality: 24

- Quasi-families (quasibinomial

quasipoisson) allow overdispersion — no AIC is computed.

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General
PromptBeginner5 minmarkdownQuality: 24

- binomial accepts response as: 0/1 vector

logical

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General
PromptBeginner5 minmarkdownQuality: 28

- `anova(glm_obj

test = Chisq) for deviance-based tests; F` is invalid for non-Gaussian families.

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General
PromptBeginner5 minmarkdownQuality: 28

- weights in glm means prior weights (not frequency weights) — for frequency weights

use the cbind trick or offset.

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General
PromptBeginner5 minmarkdownQuality: 24

- Column names from model.matrix can be surprising: e.g.

factorLevelName concatenation.

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General
PromptBeginner5 minmarkdownQuality: 24

- Common families: binomial(link = logit)

poisson(link = log)

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General
PromptBeginner5 minmarkdownQuality: 28

- Default family = gaussian(link = identity) — glm() with no family silently fits OLS (same as lm

but slower and with deviance-based output).

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General
PromptBeginner5 minmarkdownQuality: 28

- I() is required to use arithmetic operators literally: y ~ x + I(x^2). Without I()

^ means interaction crossing.

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General
PromptBeginner5 minmarkdownQuality: 24

- terms object attributes: order (interaction order per term)

intercept

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Creative
PromptBeginner5 minmarkdownQuality: 28

- model.matrix creates the design matrix including dummy coding. Default contrasts: contr.treatment...

contr.poly for ordered.

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General
PromptBeginner5 minmarkdownQuality: 24

- Captures output from cat

print

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General
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Non-obvious behaviors

gotchas

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General
PromptBeginner5 minmarkdownQuality: 24

- Converts character vectors to appropriate types (logical

integer

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