ggplot(data, aes(x=group, y=values))+# Draw ggplot2 boxplotgeom_boxplot()+stat_summary(fun=mean, geom="point", col="red")+# Add points to plotstat_summary(fun=mean, geom="text", col="red",# Add text to plotvjust=1.5, aes(label=paste("Mean:", round(..y.., digits=1)))...
Example: Add Line to ggplot2 Boxplot Using stat_summary() Function The syntax below shows how to overlay a ggplot2 boxplot with a line using the stat_summary function of theggplot2 package. In this example we’ll overlay our boxplot with a line that illustrates the medians of our boxpl...
This addin allows you to interactively explore your data by visualizing it with theggplot2package. It allows you to draw bar plots, curves, scatter plots, histograms, boxplot andsfobjects, then export the graph or retrieve the code to reproduce the graph. ...
3. ggExtra: 为ggplot2中的散点图添加marginal histograms/boxplots/density plots 示例:网站：4.Colour...
Add mean comparison p-values to a ggplot, such as box blots, dot plots and stripcharts. stat_compare_means(mapping=NULL,data=NULL,method=NULL,paired=FALSE,method.args=list(),ref.group=NULL,comparisons=NULL,hide.ns=FALSE,label.sep=", ",label=NULL,label.x.npc="left",label.y.npc="top...
Possible values include: "max", "mean", "mean_sd", "mean_se", "mean_ci", "median", "median_iqr", "median_mad". Add manually p-values to a ggplot: stat_pvalue_manual() [in ggpubr package] This function can be used to add manually p-values to a ggplot, such as b...
The optionstep.increaseis used to add more space between brackets. The optionvjustis used to vertically adjust the position of the p-values labels Note that, in some situations, the p-value labels are partially hidden by the plot top border. In these cases, the ggplot2 functionscale_y_cont...
move the text up or down relative to the bracket. Can be also a column name available in the data. coord.flip logical. IfTRUE, flip x and y coordinates so that horizontal becomes vertical, and vertical, horizontal. When adding the p-values to a horizontal ggplot (generated usingcoord_flip...
ggplot(data = bbb_both2, aes(x = factor(n), y = NNE, fill = factor(TYPE))) + geom_boxplot() + geom_hline(yintercept = 7.248, linetype = "dashed", col = "red", size = 1) + xlab("Sample size") + ylab("NNE") +...
library(ggpubr) library(rstatix) # Transform `dose` into factor variable df <- ToothGrowth df$dose <- as.factor(df$dose) head(df, 3) # Create a bar plot with error bars (mean +/- sd) bp2 <- ggbarplot( df, x = "dose", y = "len", add = "mean_sd", color = "supp",...