High-Performance Open-Source Archive
plot() for
parameters::factor_analysis() and
parameters::principal_components() gains a new
type option, "graph". This creates a graph
with nodes/edges indicating factor loadings.
Updated plot-method for performance::check_model()
for Bayesian ordinal models.
New geom_point_halo(),
geom_pointrange_halo(), geom_jitter_halo() and
geom_count_halo() geoms, which add a slight contour around
the points
Outlier plots no longer show extreme smoother curves for models with a small number of observations or a small number of outlier data points.
*_borderless aliases for
geom_point2() or geom_jitter2(), which were
broken and did not render as intended.plot() for objects from
parameters::model_parameters() were sorted in reverse order
when using the sort argument. This was fixed, thus,
sort = "ascending" now sorts the data in ascending order in
plot/math logic.Daniel Lüdecke is now the main maintainer of the package.
Several plot() methods gain a theme
argument, to control the visual themes for plots. This is in particular
useful for plots that consist of several single plots, like the one
returned by check_model().
plot() for check_model() now limits the
number of data points for models with many observations, to reduce the
time for rendering the plot. Use argument maximum_dots to
define the maximum number of data points to show.
plot() for check_model() extracts the
show_ci attribute from objects returned by
check_model(), to show or hide confidence
intervals.
plot() method for
estimate_density() with vector input and
group_by argument.4.1,
since {correlation}, a runtime dependency, requires
it.plot() for
performance::check_normality() now also supports objects
from psych::fa(), psych::principal() and
parameters::factor_analysis().
plot() for
performance::check_outliers() gets a new
"scree" type option, to create a scree plot of outlier
statistics.
Minor re-labelling of axis titles and subtitles in
plot() for
performance::check_residuals().
Updates the package to adapt to the changes in the latest
{ggplot2} release.
Themes get an axis.text.space argument, to define
the spacing between axis lines and axis labels. Due to changes in
{ggplot2}, the default spacing was slightly changed, now it
can be set to the desired value using this argument.
All theme_*() function get a ...
argument that is passed to ggplot2::theme().
Arguments that change the size of elements in
theme_*() functions (like plot.title.size or
axis.text.size now scale with the base_size
argument, to ensure proper scaling of plots when the base-size is
changed.
Added a new theme, theme_azurelight(), with a
light-blue character, and reduced use of grid lines.
theme_modern() now recognizes a
show.ticks argument, to add tick marks to the plot and
slightly increase the distance between axis labels and the related
axis.
Color scale functions (those starting with
scale_*()) get a new "gradient" palette, which
are simply the color values for blue and orange colors from that
palette. Furthermore, color scale functions now automatically select an
appropriate palette (usually, "contrast" or
"gradient") depending on whether discrete or continuous
color scales are requested.
estimate_density().plot() for p_function() now checks the
values of the size_length argument, to give an informative
error message when the input is not valid.
plot() for model_parameters() now also
plots group-levels of random effects (i.e. for mixed models, when
model_parameters(x, ..., group_level = TRUE)).
plot() for model_parameters() gets a
show_direction argument, to turn off the direction of the
effect in the plot.
plot() for model_parameters() now gives
an informative error message when trying to plot Anova tables (which
does not work).
plot() for simulate_parameters() now
better copes with models that have multiple response levels
(e.g. multinomial models).
Gains {patchwork} as a hard dependency given its
importance for the package.
Fixed issue in plot() for
bayestestR::si().
Fixed issue in plot() for
parameters::model_parameters() for GAM models.
New plot() method for
performance::check_dag().
Minor improvements to plot() for methods
p_direction() and p_significance(), which also
support forthcoming changes in the parameters package.
plot() for
performance::check_model() when package qqplotr is
not installed.4.0.Improved scaling for detrended QQ plots when package
{qqplotr} is not installed. The normal and the detrended QQ
plots are now visually more similar.
Gets rid of warnings due to API changes in the
{datawizard} package.
Fixes warnings generated from the {ggplot2} 3.5.0
release.
Small adjustment to size of point geoms for
check_model() plots.
More arguments to change base font sizes and geom sizes are now
passed to downstream plot-functions (i.e., plot() for
check_model() passes arguments to change geom sizes to the
underlying plot-functions).
plot() for check_predictions() now
supports Bayesian regression models from brms and
rstanarm.
plot.compare_parameters().New plot() method for simulated residuals
(implemented in the performance package).
plot() for check_model() was revised
and now includes more accurate Q-Q plots for non-Gaussian
models.
plot.check_model() now passes arguments
size_point and size_line to the posterior
predictive check plot.
Minor changes regarding the latest update of ggplot2.
plot.n_factors() now shows a dashed line over the
bars, indicating the cumulate explained variance by the number of
factors.
plot.check_outliers() now dodges the x-axis labels,
to avoid overlapping labels.
{see} to an
MIT license.plot() method for outputs of
datawizard::data_tabulate() (#293).The print() method for
performance::check_model() now also evaluates the default
plot type for posterior predictive checks.
QQ/PP-plots now default to drawing simultaneous testing bands
(when the qqplotr package is available). Previous behavior
can be restored by setting method = "pointwise".
Plot method for performance::check_normality() now
default to a detrended QQ-plot. Previous behavior can be restored by
setting type = "density".
Plot method for binned_residuals() gains a
show_smooth argument, to show or hide the smooth
line.
Plot method for check_predictions() gains a
x_limits argument, to limit the x-axis-range. This can be
useful to “zoom in” certain parts of the plot.
plot() for performance::check_model()
no longer produces a normal QQ plot for GLMs. Instead, it now shows a
half-normal QQ plot of the absolute value of the standardized deviance
residuals.
plot() for performance::check_model()
and performance::check_predictions() gains a
type argument, to either create density plots, or discrete
dots resp. interval plots for posterior predictive checks.
plot() for performance::check_model()
gains an n_column argument, to define the number of columns
for the diagnostic plots (by default, two columns).
plot() for performance::check_model()
sometimes failed to create the plot under certain conditions, e.g. when
the screen or app windows was zoomed-in. If an error occurs, a much more
informative error message is shown, providing several possible solutions
to resolve this problem.
plot() for
parameters::equivalence_test() now aligns the labelling
with the print() method. Hence, the legend title is no
longer labelled "Decision on H0", but rather
"Equivalence", to emphasize that we can assume practical
equivalence for effects, but that we cannot accept the H0 (in a
frequentist framework).
Added some examples and cross references between docs. Furthermore, a vignette about plotting functions for the datawizard package was added.
Fixed issue with duplicated legend in the plot()
method for performance::check_predictions().
Fixes issue in plot.binned_residuals() for models
whose residuals were completely inside error bounds.
plot() now works when using it on the output of
describe_distribution() with a select argument
of length 1.
Changed the default “yellow” color in
palette_okabeito() to "#F5C710" instead of
"#F0E442" to increase visibility against a white
background. For the original Okabe-Ito palette, set
palette = "full_original" or
palette = "black_first_original".
Deals with deprecated arguments and functions in recent
{ggplot2} updates.
Updates docs and tests for {ggplot2} release
(3.4.0).
New function scale_color_colorhex() provides color
scales based on palettes from https://www.color-hex.com (#245).
The default for the smoothing bandwidth from
plot.check_predictions() has changed from
"nrd0" to "nrd", which seems to produce better
fitting plots for non-Gaussian models. Furthermore,
performance::check_predictions() accepts a bw
argument (smoothing bandwidth), which is passed down to the
plot() method’s density-estimation.
plot() for
check_outliers() for models with convergence issues.Indrajeet Patil is now the maintainer.
The minimum needed R version has been bumped to
3.6.
Replaced deprecated arguments in function calls.
plot() method from
model_parameters() for intercept-only models.Added aesthetics argument to all color
and fill scale functions so that the same scale can be
applied to multiple aesthetics and so that the functions can be used
with other aesthetics from other packages (e.g.,
edge_color).
Added Okabe-Ito color palette (palette_okabeito,
scale_color_okabeito()) etc.)
Several minor improvements.
plot.check_collinearity(), which is
now a dot-plot, including error bars.plot.check_model() did not apply the
colors argument to all sub-plots.
plot() for model_parameters() could
fail when model objects’ class attribute had more than one
element.
Improved plotting for
performance::check_model():
using more appropriate plots for binomial models
the redundant density-plot of normality-checks was replaced by the posterior predictive check plot.
includes a plot to investigate overdispersion for count-models.
Minor improvements for some plot-methods (colour tweaking, labelling, …).
Add option to show density layers for Bayesian and bootstrapped
models in plot() for
parameters::model_parameters().
Negative coefficients in plot() for
parameters::model_parameters() are now always red.
Improve support for parameters::model_parameters()
from emmeans objects.
Updated code and examples to work with new API decisions made for the performance package.
check_model() function now uses patchwork
instead of gridExtra to arrange plots in a grid.
Reduced/removed some package dependencies.
Revise plot() for
bayestestR::bayesfactor() to meet forthcoming changes in
the bayestestR package.
New functions geom_from_list and
geoms_from_list to create geoms from lists.
Plotting for normality check is now supported for
afex_aov models.
show_intercept is no longer
ignored in plot() for rope().Added plot-function for
parameters::compare_parameters().
Added option to detrend QQ/PP plots.
Plot for SEM models now has arrows pointing from the latent variables towards the manifest variables.
The plot() method for check_model() was
revised and should now be more consistent regarding titles and
subtitles, as well as color schemes and plot order. Furthermore, the
plot for influential observation was changed in order to better catch
the potential influential observations.
The check_heteroscedasticity() plot contains a
dashed horizontal line, which makes it to assess the homoscedasticity
assumption.
The y-axis label for check_collinearity() plot
clarifies that the measure being plotted is VIF. This was unclear when
this plot was embedded in a grid of plots from
check_model() containing multiple checks.
Plotting methods for performance_roc() and
performance_accuracy() show correct labels now.
Fixed issue with wrong labelling of CI-levels for
plot.see_hdi().
Fixed minor issues due to breaking changes in other easystats-packages.
plot() for
performance::check_normality() gains a
alpha-argument, to change the alpha-level of confidence
bands.
The ... argument for geom_violindot()
is now also passed to to geom_violinhalf(), allowing, e.g.,
to change the alpha value of the violin-geoms as well.
Reorganized order of arguments in geom_violindot(),
so aesthetics arguments like fill are not absorbed by
partial matching for arguments like fill_dots.
plot() for
performance::check_normality() shows more accurate
QQ-plots.
plot() for
performance::check_normality() show correct confidence
bands for QQ- and PP-plots (with qqplotr). Previous bands
were extremely narrow!
plot() for
parameters::model_parameters() now supports models from
package metaBMA
plot() for
parameters::model_parameters() gains a
weight_points argument, to adjust the point-size depending
on study-weights for meta-analysis models.
plot() for
parameters::model_parameters() now labels the x-axis
depending on model-type (i.e. “Odds Ratio” instead of “Exp(Estimate)”)
when this information is available.
plot() for
parameters::model_parameters() for brmsfit
models.text_size and size_text, or just
size even if only in the context of text labels. We now
tried to harmonize these kind of arguments to gain more consistency
throughout the different plot() methods.Added plot-function for
parameters::model_parameters() for brms-meta-analysis
models.
Added plot-function for
performance::pp_check().
plot() for
parameters::model_parameters() gains a
size_text-argument, to add text values for estimates and
confidence intervals to the plot (see also vignette).
plot() for
parameters::model_parameters() from meta-analysis models
(e.g. from metafor) gains a type argument, to
create funnel plots with type = "funnel".
plot() for
bayestestR::estimate_density() and
parameters::simulate_parameters() were revised, and now
also include the point-estimate and error bar. Therefore, arguments
centrality and ci were added.
Fixed bug in plot.model_parameters() when
standardize was "basic", "smart"
or "posthoc".
Fixed wrong axis labelling for ROC-curves (from
performance::performance_roc()).
plot() for correlation::correlation()
gains a type and size argument, to plot
correlation matrices either as tiles or circles.Added new color-palettes.
Palettes for existing color scales have been revamped.
Added "light" palettes for dark themes.
Plot-function for
parameters::describe_distribution() gains
highlight, highlight_color and
size arguments.
Plot-function for
parameters::describe_distribution() now uses thin bars for
variables with integer values (instead of less precise
histogram).
Plot-function for performance::check_normality()
gains size and point_size arguments.
Plot-function for performance::check_normality() now
also plots normality of random effects, when
check_normality(effects = "random") was called.
Legend labels nopw show a percentage-sign where applicable (for
instance, for plot.hdi()).
Fixed issue with argument n_column in
plot.p_significant(), plot.hdi(), and
plot.p_direction(), which stopped working since R
4.0.0.
Fixed issue in plot.performance_roc() with swapped
x/y axes.
golden_ratio() was added as a helper to get nice
proportions.Added plot-function for
correlation::summary().
Added plot-function for
parameters::describe_distribution().
Added plot-function for
effectsize::equivalence_test().
Added plot-function for various effectsize-functions, like
effectsize::eta_squared().
plot.estimate_density() now also works for density
estimation of data frames.
plot.equivalence_test() now also works for
frequentist models and data frames (see
parameters::equivalence_test()).
Slightly changed plotting-style for
plot.equivalence_test().
correlation::correlation().plot() for model_parameters.rma() now
arranges facets by subgroups (see vignettes).
minor improvements to plot() for
parameters::cluster_analysis().
minor improvements to plot() for
parameters::model_parameters.brmsfit().
Plot-function for bayestestR::si() gets a
support_only argument, to plot only the support data or the
“raw” prior and posterior distributions.
ncol and nrow in
plots() were renamed into n_columns and
n_rows to be consistent with arguments from other functions
in the see-package.Added plot-function for
performance::compare_performance().
Added plot-function for bayestestR::si().
plot()-functions for the bayestestR-package
now also support BFBayesFactor and MCMCglmm
objects.
plot() for
parameters::model_parameters() now uses fixed axis for
facets when model is an ordinal or cumulative link model (because all
facets are on the same scale, and thus parameters are easier to
compare).
Fixed issue with group coloring for
parameters::model_parameters() when
exponentiate = TRUE.
Fixes issue with plot.point_estimate() for
vectors.
how_to_plot() was removed for the time being, due to
its inadequate maintenance effort. It might be re-implemented sometime
in the future…Improved layout (vertical alignment) for some plotting-functions for the bayestestR-package, when there was only one parameter. Plots now are closer to the x-axis, removing unnecessary empty space.
Labels and plot annotations are now more “human readable”, and labelling is more context sensitive.
Added coord_radar for radar charts.
Added plot-function for
parameters::cluster_analysis().
Added plot-function for
parameters::principal_components().
Added plot-function for
parameters::parameters_simulate().
Added plot-function for
parameters::n_factors().
Added plot-function for
bayestestR::p_significance().
plot() for
parameters::model_parameters() gets a
sort-argument to sort coefficients.
plot() for
parameters::model_parameters() now also create forest plots
for meta-analysis.
plot() for
bayestestR::bayesfactor_parameters() only plots facets when
necessary.
plot() for
performance::check_outliers() now also plot multiple
methods in one plot.
Following plot() methods get a
n_columns-argument, so model components like random effects
or a zero-inflation component can be plotted in a multi-column layout:
bayestestR::p_direction(), bayestestR::hdi(),
bayestestR::rope(),
bayestestR::equivalence_test(),
parameters::model_parameter(),
parameters::parameters_simulate()
Following plot() methods get priors and
priors_alpha arguments, to add a layer with prior samples
to the plot: bayestestR::p_direction(),
bayestestR::estimate_density(),
bayestestR::point_estimate()
More comprehensive examples available from the package-website.
Added new color-palettes.
Added plot-function for
parameters::model_parameters().
Added plot-function for
bayestestR::point_estimate().
The plot()-method for
bayestestR::bayesfactor_savagedickey() gets a
rope_color and a rope_alpha-argument to plot
the “null”-interval, when the null-hypothesis is a region of
practical equivalence, and not just the point-null.
The plot()-method for
performance::binned_residuals() now also allows to modify
size and colors of geoms (related arguments are in
performance::binned_residuals()).
geom_point2() now accepts
size-aesthetics when mapped to data.
Themes now get a base_size and
base_family argument, in line with ggplot
themes, to set the default size and family for plots.
plot()-methods now work for
bayestestR functions that work on
emmGrid-objects (created from pairwise comparison with
package emmeans).
theme_lucid(), a light and clear theme.Added plot-function for
performance::check_model().
Added plot-function for
performance::check_normality().
Added plot-function for
performance::check_heteroscedasticity().
Added plot-function for
performance::check_outliers().
Added plot-function for
performance::check_distribution().
Added plot-function for
performance::check_collinearity().
Added plot-function for
performance::check_homogeneity().
geom_poolpoint() and geom_pooljitter() to
draw pool ball points (points labelled with the observation name).
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