| shk_grid | R Documentation |
These mirror eta_grid()/eta_vs_cov_grid(), but for the
per-individual shrinkage contribution diagnostic (shk type columns,
see derive_shk()/backfill_shk()) instead of the etas
themselves.
shk_grid(
xpdb,
mapping = NULL,
shkvar = NULL,
drop_fixed = TRUE,
title = "Shrinkage contribution correlations | @run",
subtitle = "Based on @nind individuals",
caption = "@dir",
tag = NULL,
pairs_opts,
.problem,
quiet,
...
)
shk_vs_cov_grid(
xpdb,
mapping = NULL,
shkvar = NULL,
cols = NULL,
covvar = NULL,
covtypes = c("cont", "cat"),
show_n = TRUE,
drop_fixed = TRUE,
title = "Shrinkage contribution covariate correlations | @run",
subtitle = "Based on @nind individuals",
caption = "@dir",
tag = NULL,
shkcov = TRUE,
pairs_opts,
.problem,
quiet,
...
)
xpdb |
< |
mapping |
|
shkvar |
|
drop_fixed |
As in |
title |
Plot title |
subtitle |
Plot subtitle |
caption |
Plot caption |
tag |
Plot tag |
pairs_opts |
List of arguments to pass to |
.problem |
Problem number |
quiet |
Silence extra debugging output |
... |
Passed to |
cols |
|
covvar |
For |
covtypes |
Subset to specific covariate type? |
show_n |
Count the number of |
shkcov |
For |
xp_tras_plot object
xpdb_shk <- backfill_shk(xpdb_x)
shk_grid(xpdb_shk)
shk_vs_cov_grid(xpdb_shk)
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