Full reference to all functions available at grafify GitHub pages.
plot_3d_scatterviolin and plot_4d_scatterviolin for one-way or two-way ANOVA design data to plot scatter plots with violins with box and whiskers.
plot_qqmodel no longer relies on broom.mixed; instead uses rstudent from the base stats package to generate studentized residuals from a model.
New experimental functions to compare slopes of linear regression via posthoc_Trends_Pairwise, posthoc_Trends_Levelwise and posthoc_Trends_vsRef.
Minor changes to plot_qqmodel and plot_qqline to fix some OS-specific errors. QQ plots by default will have ok_orange colour within symbols when only one level is present within group. Both functions now use geom_qq and geom_qq_line (instead of stat_qq and stat_qq_line) internally.
This is a major update with some new features, bugfixes, and further cleaning up of code with consistent names of arguments in preparation for CRAN submission. Some previous code may not work because of renaming of some arguments for grouping variables in plot_ functions. But older arguments are retained with deprecation warnings in most cases, so old code should largely work.
plot_ functions have a new argument ColSeq (logical TRUE/FALSE) that picks colours sequentially from palette chosen by ColPal when TRUE (default). If set to FALSE, the most distant colours are chosen, as already implemented in scale_..._grafify2 functions.geom_violin. They also get new arguments to set thickness of lines (bvthick) and transparency of boxplots (b_alpha).mixed_model_slopes and mixed_anova_slopes.posthoc_Trends implements the emmeans::emtrends call.plot_ functions now have the ... argument forwarding dots for advanced users to add arguments to ggplot geometries where necessary.plot_grafify_palette function that helps quickly visualise colours in palettes along with their names and hexcodes.plot_bar_sd and plot_bar_sd_sc have a new argument bthick to adjust the thickness of lines of the bars.Group grouping argument in plot_density, plot_histogram and plot_qqline is now called group for consistency with other plot_ functions.Factor argument in post-hoc comparisons functions (posthoc_Pairwise, posthoc_vsRes, and posthoc_Levelwise) renamed as Fixed_Factor to be consistent with mixed_model, simple_model, mixed_anova and simple_anova functions.plot_3d_scatterbar and plot_3d_scatterbox now correctly plot one-way ANOVA designs with randomised blocks with shapes mapped to levels of the random factor, and xcol as the grouping factor as originally intended but incorrectly implemented. This complements plot_4d_scatterbar and plot_4d_scatterbox which take two grouping factors and a random factor.groups in before-after plots is now called match as it is a bit more informative when showing matched data.c_alpha in plot_density and plot_histogram (for colour opacity of colours under the density curve or histogram); opacity of symbols in plot_qqline is still called s_alpha.This update fixes and cleans up code to remove all errors, warnings and notes from devtools::check(). All previous code should still work.
broom.mixed::augment is used to get model residuals than the fortify method as this will be deprecated soon. The broom.mixed package therefore required.lmerTest, but instead forces a mixed model object as lmerModLmerTest object to get F and P values in ANOVA tables from the stats::anova call.magrittr package is required for internal use of pipes (%>%).simple_model and mixed_model was cleaned up so that model outputs are as close to objects generated by native calls to lm or lmer.make_1w_rb_data and make_2w_rb_data functions have been updated to have consistent factor and level names.This version has 8 new plot_ functions ending in _sc for plotting data with two variables wherein the X variable is plotted in a single colour. This contrasts existing versions that plot the X variable with multiple colours chosen from the all_grafify palette. This is convenient when there are too many groups on the X axis and multiple colours are not necessary.
plot_qqmodel will plot a diagnostic Q-Q plot of a simple linear model (generated with simple_model or lm) or mixed effects linear model (generated with mixed_model or lmer) in a single step.
Fixed a typo in posthoc_Levelwise where the adjust argument was not being correctly passed on to emmeans.
This version “breaks” a few arguments from v0.3.1, therefore is v1.4.1. Specifically, opacity for both symbols and bars/boxes/violins can be set using s_alpha and b_alpha or v_alpha, respectively; previously, only bars/boxes/violin opacity could be set with a single alpha parameter. Old code with just alpha will no longer work, sorry! There are also new graph types and arguments for ANOVAs as below.
New graph types
plot_density and plot_histogram for smooth density or histogram plots through geom_density and geom_histogram respectively.plot_scatterbox and plot_scatterviolin that complement the plot_dot... versions and instead use geom_point with position_jitter. These versions are useful when a large number of data points are needed to be plotted.Updates
simple_anova where the table also has Mean SS.mixed_anova now has two new arguments, one to change method for Df calculation and second to get type I or III SS (default is type II).jitter argument added to plot_3d.. and plot_4d.. functions for consistency with other scatter plots.bwid argument (for adjusting width of bars) added to plot_scatterbar_sd for consistency.Bug fixes in mixed_model and simple_model which now correctly lists the data used in the call field.
plot_4d_scatterbar function which is like plot_4d_scatterbox but plots bar and SD. So there are now two plot_3d_ and plot_4d_ functions.TextXAngle argument to prevent overlap.plot_dot_ functions now have dotthick option to set stroke thickness. This is similar to symthick for scatter/jitter plots.facet_wrap or facet_grid will not draw a box around panel text (unlike the default in theme_classic()).plot_3d_ and plot_4d_ functions draw symbols in black colour.plot_3d_scatterbar and plot_3d_scatterbox, which now correctly use the “shapes” variable to fill colour of bars/boxes and shape of the symbols; symbols are depicted in black.simple_anova generates type II ANOVA table through car::Anova(), so the car package is now a dependency. v0.1.0 and v0.2.0 generated type I ANOVA table through stats::anova().plot_ functions apply the all_grafify colour scheme by default (see plot_ vignettes on how to change colours)plot_xy_NumGroup) or categorical (plot_xy_CatGroup).scale_fill_grafify_c and scale_colour_grafify_c), based on Paul Tol’s variant of YlOrBl scheme.First release.