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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).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.