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lm2(): improved display rounding for printed regression
tables. Near-zero numerical noise (e.g. from near-perfect fits) displays
as .000 instead of long scientific-notation strings; values
with |x| < 1 always omit the leading zero (including
zero). Extreme t statistics display as
>999. New optional round argument on
lm2() and print.lm2(): NULL uses
magnitude-based rules, round = -1 uses R default
format(), and non-negative values fix decimal places.plot_cdf(): xlim passed via
... is now fully honored — ECDF curves are drawn over the
requested range, not only the data range.table2(): chi2= is accepted as an alias
for chi= (if both are passed, they must agree).plot_freq(), plot_density(),
plot_cdf(), plot_means(), lm2(),
and related helpers: automatic titles and axis labels now strip
data-frame prefixes from $ expressions while keeping the
rest of the expression.plot_means(): user-supplied ylim is
respected — the axis is no longer pulled down to 0 for n=
labels; the lower limit may extend slightly below your requested minimum
only to make room for sample-size labels.table2(): chi-square test again prints in APA format
(χ²(df) = ..., p = ...) when printing results with
chi=TRUE.stimulus.plot() for stimulus plots in
matched/treated-stimulus designs (means and effects plots with null
resampling).stimulus.beeswarm() for compared-stimulus
designs.clear_stimulus_cache() to reset resampling cache
used by stimulus plotting functions.t.test2(): now reports Cohen’s d for two-sample
independent tests (returned as d and printed after sample
sizes).t.test2(): missing-value note no longer double-counts
rows where the grouping variable is NA.lm2(): explanatory notes are no longer printed with the
regression table; they are stored when the model is printed and shown
via the new lm2_notes() function. The print output ends
with a reminder to run lm2_notes().lm2() and print.lm2(): the
notes argument is deprecated (ignored). Passing
notes = TRUE or notes = FALSE emits a message
directing users to lm2_notes().plot_means(): removed the save.as argument
(no longer saves plots to PNG/SVG).t.test2(): documented S3 registration as
t.test2 for base::t to avoid recurring CRAN S3
consistency notes while keeping direct t.test2(...) usage
unchanged.desc_var(): removed dependency on
labelled; now relies on new function
var_labelsvar_labels() to get/set these labels for vectors
and data frames. This avoids depending on labelledplot_means() for barplots of group means with
confidence intervals, optional comparisons and interaction-style
contrasts, up to three grouping variables in the formula, optional
clustered standard errors, and saving to PNG or SVG.interprobe() for probing interactions: simple
slopes and Johnson–Neyman style marginal-effect curves for
x × z, using GAM or linear models.plot_freq(): improved behavior when there are many
distinct values; grouped plots support up to four levels of the grouping
variable.lm2(): mean column shows percentages for factor levels
and factor×factor interactions as intended; baseline factor level row
shows the percentage of observations like other levels.desc_var(): when the response variable is missing, only
the intended error is shown (no spurious “restarting interrupted promise
evaluation” warning).scatter.gam(): supports direct coordinates and formula
syntax (including df$y ~ df$x); axis labels use short
variable names for $ formulas; ylim and other
... arguments no longer conflict with internal plot
arguments; small vertical buffer on the lower frequency panel.red4 now use red2 for
readability in dark terminals (including messages from
plot_freq(), plot_density(),
plot_cdf(), clear(), twolines(),
and exit()).t.test2() performance improvements.desc_var() evaluates calls such as df$x
correctly when data is not supplied, instead of mistakenly
using a same-named object from the search path.text2() applies vector arguments passed in
... (e.g. col) per label, fixing wrong colors
when labels differ (notably for plot_means() value
labels).plot_cdf() restores only selected graphics parameters
on exit (mar, mgp) so layouts using
par(mfrow = ...) are not reset. Similar graphics-state
cleanup was applied in other plotting functions where appropriate.plot_freq(), plot_density(), and
plot_cdf(): optional comparison of two vectors (in addition
to formula syntax); legend placed higher on the plot.table2(): clearer dimension labels for expressions such
as df$var > 10; very long labels are truncated.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.