- `usr` with log scale: contains **log10** of the coordinate limits
not the raw values.
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117,679 skills indexed with the new KISS metadata standard.
not the raw values.
1 = horizontal
1
`mar` (lines)
data = df)` — note the `~` with no LHS.
base `cex` is multiplied by 0.83; with 3+ rows/columns
gotchas
`$p.value`
not of the distribution itself.
`shape2` (beta) — no `mean`/`sd` parameterization.
linear interpolation). Type 1 = inverse of empirical CDF (SAS default). Types 4-9 are continuous; 1-3 are discontinuous.
uses `length(n)` as the count
adding 0%
default 3 bandwidths).
consider `SJ` or `bcv`.
N-1 vs N scaling).
`nstart = 25`): runs algorithm from multiple random starts
`maximum`
not test statistics.
p-values are **conservative** (too large). Use `dgof` or `ks.test` with `exact = NULL` for discrete distributions.
`BH` (Benjamini-Hochberg FDR)
uses simulation (`simulate.p.value = TRUE`) or network algorithm.
not rank-sum (Mann-Whitney).
normal approximation used.