High-Performance Open-Source Archive
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.
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