The fitted effect curve evaluated AT the traits the functional fit was run
over, one row per (credible set, trait). The curve itself lives on a wavelet
grid (fsusieCredibleBand); the traits sit at arbitrary
positions between grid points, so the effect is linearly interpolated with
constant extrapolation past the ends.
Usage
fsusieTraitEffects(x, ...)
# S4 method for class 'FineMappingResultBase'
fsusieTraitEffects(x)Value
A long tibble: cs, chrom, jointTrait, traitPos,
effect (the collection method additionally carries the entry identity
columns).
Details
This is the view that pairs a trait's NAME with its position: the names come
from the row's jointTraits column and the positions from the fit,
index-aligned because both describe the same joint group. Returns zero rows
when the functional fields are absent.
Examples
data(fsusieFineMappingExample)
fsusieTraitEffects(fsusieFineMappingExample)
#> # A tibble: 0 × 13
#> # ℹ 13 variables: study <chr>, context <chr>, trait <chr>, blockId <chr>,
#> # method <chr>, dataType <chr>, dataSource <chr>, standardized <chr>,
#> # cs <chr>, chrom <chr>, jointTrait <chr>, traitPos <dbl>, effect <dbl>