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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
rely 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.
Health stats visible at Monitor.