In ggpar(), now legend.title can be either a character vector, e.g.: legend.title = “Species” or a list, legend.title = list(color = "Species", linetype = "Species", shape = "Species").
New argument ellipse.border.remove in ggscatter() to remove ellipse border lines.
ggscatter(mtcars, x = "mpg", y = "wt",
color = "cyl",
ellipse = TRUE, mean.point = TRUE,
ellipse.border.remove = TRUE)ggscatter(), the argument mean.point now reacts to fill color.Support for text justification added in ggtexttable() ([@cj-wilson, #15](https://github.com/kassambara/ggpubr/issues/18))
The function ggpie() can now display japanese texts. New argument font.family in ggpie() and in ggpar() ([@tomochan001, #15](https://github.com/kassambara/ggpubr/issues/15)).
Using time on x axis works know with ggline() and ggbarplot() ([@jcpsantiago, #15](https://github.com/kassambara/ggpubr/issues/17)).
stat_compare_means() now reacts to hide.ns properly.drawDetails.splitText() exported so that the function ggparagraph() works properly.ggbarplot(), now labels correspond to the true size of bars ([@tdelhomme, #15](https://github.com/kassambara/ggpubr/issues/15)).stat_compare_means() now keep the default order of factor levels ([@RoKant, #12](https://github.com/kassambara/ggpubr/issues/12)).gradient_color() and gradient_color(): change gradient color and fill palettes.clean_theme(): remove axis lines, ticks, texts and titles.get_legend(): to extract the legend labels from a ggplot object.as_ggplot(): Transform the output of gridExtra::arrangeGrob() and gridExtra::grid.arrange() to a an object of class ggplot.ggtexttable(): to draw a textual table.ggparagraph(): to draw a paragraph of text.annotate_figure() to annotate (arranged) ggplots.text_grob() to create easily a customized text graphical object.background_image() to add a background image to a ggplot.theme_transparent() to create a ggplot with transparent background.gghistogram(), density curve and rug react to the fill color.ggarrange():
àlign to specify whether graphs in the grid should be horizontally (“h”) or vertically (“v”) aligned.legend to remove or specify the legend position when arranging multiple plots.common.legend to create a common unique legend for multiple plots.ggarrange() to arrange multiple ggplots on the same page.ggexport() to export one or multiple ggplots to a file (pdf, eps, png, jpeg).ggpaired() to plot paired data.compare_means() to compare the means of two or multiple groups. Returns a data frame.stat_compare_means() to add p-values and significance levels to plots.stat_cor() to add correlation coefficients with p-values to a scatter plot.stat_stars() to add stars to a scatter plot.Now, the argument y can be a character vector of multiple variables to plot at once. This might be useful in genomic fields to plot the gene expression levels of multiple genes at once. see ggboxplot(), ggdotplot(), ggstripchart(), ggviolin(), ggbarplot() and ggline.
The argument x can be a vector of multiple variables in gghistogram(), ggdensity(), ggecdf() and ggqqplot().
font() to change the appearance of titles and labels.rotate_x_text() and rotate_y_text() to rotate x and y axis texts.rotate() to rotate a ggplot for creating horizontal plot.set_palette() or change_palette() to change a ggplot color palette.border() to add/change border lines around a ggplot.bgcolor() to change ggplot panel background color.rremove() to remove a specific component from a ggplot.grids() to add grid lines.xscale() and yscale() to change axis scale.facet() added to create multi-panel plots (#5).add_summary() to add summary statistics.ggadd() to add summary statistics or a geometry onto a ggplot.New data set added: gene_citation
New arguments in ggpar(): x.text.angle and y.text.angle
ggboxplot(), ggdotplot(), ggstripchart(), ggviolin(), ggbarplot() and ggline:
combine added to combine multiple y variables on the same graph.merge to merge multiple y variables in the same ploting area.select to select which item to display.remove to remove a specific item from a plot.order to order plot items.label, font.label, label.select, repel, label.rectangle to add and customize labelsfacet.by, panel.labs and short.panel.labs: support for faceting and customization of plot panelsNew argument grouping.vars in ggtext(). Grouping variables to sort the data by, when the user wants to display the top n up/down labels.
theme_pubr():
palette Can be also a numeric vector of length(groups); in this case a basic color palette is created using the function grDevices::palette().Now, ggpar() reacts to palette when length(palette) = 1 and palette is a color name #3.
ggmaplot() now handles situations, wehre there is only upregulated, or downlegulated gnes.
get_palette() to generate a palette of k colors from ggsci palettes, RColorbrewer palettes and custom color palettes. Useful to extend RColorBrewer and ggsci to support more colors.ggpar() function can handle a list of ggplots.right.show.legend.text in the ggscatter() function. Use show.legend.text = FALSE to hide text in the legend.title, submain, subtitle, caption, font.submain, font.subtitle, font.caption in the ggpar() function.font.family in ggscatter().ggdensity (gghistogram) are now shown if data have NA values [@chunkaowang, #1](https://github.com/kassambara/ggpubr/issues/1)ggtext() for textual annotation.ggscatter(). A logical value. If TRUE, a star plot is generated.geom_exec(). A helper function used by ggpubr functions to execute any geom_xx functions in ggplot2. Useful only when you want to call a geom_xx function without carrying about the arguments to put in ggplot2::aes().ggbarplot().
theme_classic2() added. Classic theme with axis lines.ggboxplot(), ggviolin(), ggdotplot(), ggstripchart(), gghistogram(), ggdensity(), ggecdf() and ggqqplot() can now handle one single numeric vector.# Example
ggboxplot(iris$Sepal.Length)gghistogram(), when add_density = TRUE, y scale remains = “..count..”.