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130,610 skills indexed with the new KISS metadata standard.

Showing 24 of 130,610Categories: Coding & Debugging, General, Data, Cursor-rules
General
PromptBeginner5 minmarkdownQuality: 24

- names = TRUE by default

adding 0%

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Data
PromptBeginner5 minmarkdownQuality: 28

- Default bandwidth: bw = nrd0 (Silverman's rule of thumb). For multimodal data

consider SJ or bcv.

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General
PromptBeginner5 minmarkdownQuality: 28

- Nine type options (1-9). Default type = 7 (R default

linear interpolation). Type 1 = inverse of empirical CDF (SAS default). Types 4-9 are continuous; 1-3 are discontinuous.

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Data
PromptBeginner5 minmarkdownQuality: 28

- Default kernel: gaussian. Range of density extends beyond data range (controlled by cut

default 3 bandwidths).

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General
PromptBeginner5 minmarkdownQuality: 24

- method = euclidean (default). Other options: manhattan

maximum

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General
PromptBeginner5 minmarkdownQuality: 28

- prcomp uses SVD (numerically superior); princomp uses eigen on covariance (less stable

N-1 vs N scaling).

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General
PromptBeginner5 minmarkdownQuality: 24

- Methods: holm (default)

BH (Benjamini-Hochberg FDR)

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Data
PromptBeginner5 minmarkdownQuality: 24

- Returns a matrix of p-values

not test statistics.

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Data
PromptBeginner5 minmarkdownQuality: 28

- For composite hypotheses (parameters estimated from data)

p-values are conservative (too large). Use dgof or ks.test with exact = NULL for discrete distributions.

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General
PromptBeginner5 minmarkdownQuality: 24

- Paired test: paired = TRUE uses signed-rank test (Wilcoxon)

not rank-sum (Mann-Whitney).

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General
PromptBeginner5 minmarkdownQuality: 24

- For tables larger than 2x2

uses simulation (simulate.p.value = TRUE) or network algorithm.

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General
PromptBeginner5 minmarkdownQuality: 24

- exact = TRUE by default for small samples with no ties. With ties

normal approximation used.

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General
PromptBeginner5 minmarkdownQuality: 28

- simulate.p.value = TRUE: Monte Carlo with B = 2000 replicates (min p ~ 0.0005). Simulation assumes...

not the chi-sq assumption).

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General
PromptBeginner5 minmarkdownQuality: 24

- Return object includes $expected

$residuals (Pearson)

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General
PromptBeginner5 minmarkdownQuality: 28

- For goodness-of-fit: pass a vector

not a matrix. p must sum to 1 (or set rescale.p = TRUE).

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General
PromptBeginner5 minmarkdownQuality: 28

- uniroot: finds a root of f in `[lower

upper]. Requires f(lower) and f(upper)` to have opposite signs.

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General
PromptBeginner5 minmarkdownQuality: 24

Non-obvious behaviors

gotchas

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General
PromptBeginner5 minmarkdownQuality: 24

- `anova(model1

model2)`: F-test comparing nested models.

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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28

- SANN (simulated annealing): convergence code is always 0 — it never fails. maxit = total function...

no other stopping criterion.

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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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