General
PromptBeginner5 minmarkdownQuality: 24
- Methods: holm (default)
BH (Benjamini-Hochberg FDR)
0
Explore
Find agent skills by outcome
139,187 skills indexed with the new KISS metadata standard.
Showing 24 of 139,187Categories: Data & Insights, Creative, Data, Communication, Coding & Debugging, General
Data
PromptBeginner5 minmarkdownQuality: 24
- Returns a matrix of p-values
not test statistics.
0
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.
0
General
PromptBeginner5 minmarkdownQuality: 24
- Paired test: paired = TRUE uses signed-rank test (Wilcoxon)
not rank-sum (Mann-Whitney).
0
General
PromptBeginner5 minmarkdownQuality: 24
- For tables larger than 2x2
uses simulation (simulate.p.value = TRUE) or network algorithm.
0
General
PromptBeginner5 minmarkdownQuality: 24
- exact = TRUE by default for small samples with no ties. With ties
normal approximation used.
0
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).
0
General
PromptBeginner5 minmarkdownQuality: 24
- Return object includes $expected
$residuals (Pearson)
0
General
PromptBeginner5 minmarkdownQuality: 28
- For goodness-of-fit: pass a vector
not a matrix. p must sum to 1 (or set rescale.p = TRUE).
0
General
PromptBeginner5 minmarkdownQuality: 28
- uniroot: finds a root of f in `[lower
upper]. Requires f(lower) and f(upper)` to have opposite signs.
0
General
PromptBeginner5 minmarkdownQuality: 24
Non-obvious behaviors
gotchas
0
General
PromptBeginner5 minmarkdownQuality: 24
- `anova(model1
model2)`: F-test comparing nested models.
0
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
- SANN (simulated annealing): convergence code is always 0 — it never fails. maxit = total function...
no other stopping criterion.
0
General
PromptBeginner5 minmarkdownQuality: 24
- Returns object with predict
0
General
PromptBeginner5 minmarkdownQuality: 28
- Default method is Nelder-Mead (no gradients
robust but slow). Poor for 1D — use Brent or optimize().
0
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.
0
General
PromptBeginner5 minmarkdownQuality: 24
- lowess parameter is f (span
default 2/3); loess parameter is span (default 0.75).
0
General
PromptBeginner5 minmarkdownQuality: 24
- lowess is the older function; returns `list(x
y)` — cannot predict at new points.
0
General
PromptBeginner5 minmarkdownQuality: 24
- Direction: direction = both (default)
forward
0
Data
PromptBeginner5 minmarkdownQuality: 28
- If data fits too exactly (no residual noise)
convergence check fails — use control = list(scaleOffset = 1) or jitter data.
0
Creative
PromptBeginner5 minmarkdownQuality: 24
- Self-starting models (SSlogis
SSasymp
0
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.
0
General
PromptBeginner5 minmarkdownQuality: 24
- For Type III SS
use car::Anova() or set contrasts to contr.sum/contr.helmert.
0
General
PromptBeginner5 minmarkdownQuality: 24
- Quasi-families (quasibinomial
quasipoisson) allow overdispersion — no AIC is computed.
0