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stat_error() summarises raw observation-level data
into error bounds. Accepts fun = "mean_se" (default),
"mean_ci" (95% normal- theory CI, no Hmisc dep), or a
custom function following ggplot2’s fun.data contract. Also
available via geom_error(stat = "error").sign_aware = TRUE routes signed per-row values
(typically residuals) into one-sided bars whose direction encodes the
sign. Enables one-layer lm() residual plots.aes(error_neg = NA, error_pos = ...) is now the
canonical idiom for one-sided bars — the cap and stem on the NA side
auto-suppress. Passing 0 still renders but emits a soft
deprecation warning; silence with
options(ggerror.silent_zero_warning = TRUE) or tune the
detection threshold via
options(ggerror.zero_threshold = ...).error now warn
with row indices (class ggerror_warn_error_na); negative
values without sign_aware abort with row indices and a
migration suggestion (class
ggerror_error_negative_error_aes).lm-residuals covering
stat_error() and sign_aware with an
lm() residual-plot demo.ggerror now includes a complete aestetic support for
one sided error bars.colour_neg / colour_pos, fill_neg
/ fill_pos, linewidth_neg /
linewidth_pos, linetype_neg /
linetype_pos, alpha_neg /
alpha_pos, and width_neg /
width_pos.0, default, for example
geom_error(aes(error_neg = 0, error_pos = se), width_neg = 0).vignette("ggerror") covering symmetric,
asymmetric, one-sided, and per-side styling workflows.error_neg / error_pos aesthetics for
asymmetric error bars. The bar extends
error_neg in the negative direction and
error_pos in the positive direction along the
non-categorical axis.0 explicitly
(e.g. aes(error_neg = 0, error_pos = se) for an upward-only
bar).error aesthetic is unchanged.
Combining error with either error_neg /
error_pos, or providing only one of the asymmetric pair,
raises an error.geom_error() (plus
geom_error_linerange(), geom_error_crossbar(),
geom_error_pointrange()) wrapping ggplot2’s error geoms
behind a single error aesthetic with automatic orientation
inference.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.