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forrest() gains a dodge argument
(logical or positive numeric, default FALSE). When set,
consecutive rows that share the same label value are
grouped together and their confidence intervals are drawn with a small
vertical offset so they do not overlap. The shared label is displayed
once at the centre of the group. Designed to be used with
group (for colour) and/or shape (for point
character) to visually distinguish the overlaid series. A numeric value
controls the offset directly; TRUE uses a default of
0.25 y-axis units.
forrest() gains a shape argument
(column name string, default NULL). When provided,
different values of the column are rendered with different point
characters from a built-in set (circle, triangle, square, diamond, …),
and a shape legend is drawn automatically. Most useful in combination
with group to encode two categorical dimensions
simultaneously (e.g. colour = time period, shape = sex).
forrest() gains a legend_shape_pos
argument (default "bottomright") to control the position of
the shape legend independently of legend_pos.
forrest() gains a cols_by_group
argument (default FALSE). When TRUE and
dodge is active, each text column in cols is
collapsed to one value per label group displayed at the group centre y
position. This produces a wide-format text table — one row per label,
one column per condition — as commonly seen in multi-period epidemiology
papers (vs. the default behaviour of stacking text at each individual
row’s dodged y position).
README quick-start gains a Multiple estimates per row
example demonstrating dodge with
group.
README quick-start regression example now shows a formatted text
column (cols) and a panel header (header)
alongside the plot, making all three core features visible in one
place.
Getting-started vignette gains two new sections: Multiple estimates per row and Point shapes.
Regression vignette: the Multiple predictors from one
model example now includes a
cols = c("Coef (95% CI)" = "coef_ci") column and matching
header, consistent with the logistic and dose-response
examples.
DESCRIPTION URL
field.save_forrest() — new exported function to write a
forest plot to a file. The graphics device (PDF, PNG, SVG, TIFF) is
inferred from the file extension; resolution can be controlled via
dpi for raster formats.
forrest() gains a stripe argument
(FALSE by default). When TRUE, alternate rows
are shaded with a light-grey background to improve readability in tables
with many rows.
Revised framing: forrest is now documented as a
general-purpose tool for any tabular estimates-and-CIs data, not only
meta-analyses. The description, README, and vignettes have been updated
accordingly.
New vignette Forest plots for regression results covers
four practical patterns: multiple predictors from one model, comparing
estimates across adjustment models, same predictor across multiple
outcomes, and dose-response (exposure categories). Examples use
broom::tidy() for parameter extraction.
Getting-started vignette updated with a stripe
example and a Saving plots section.
README now leads with a regression-model example and an updated feature comparison table.
Drawing helpers (draw_diamond(),
draw_text_panel()) moved from R/utils.R to a
dedicated R/draw.R, improving code organisation.
save_forrest() lives in its own
R/save.R.
lwd = 0.7 (was
0.8) for a slightly lighter appearance.forrest() creates publication-ready forest plots with
support for subgroup headers, summary estimates (diamonds), grouped
colour mapping, and optional text columns alongside the plot.forrest() gains a weight argument to scale
point size proportionally to row weights.xlim are
clipped at the axis boundary; a directional arrow indicates the
truncated side.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.
Health stats visible at Monitor.