in thegeom_bar()call,position="dodge"must be specified to have the bars one beside each other. # librarylibrary(ggplot2)# create a datasetspecie<-c(rep("sorgho",3) ,rep("poacee",3) ,rep("banana",3) ,rep("triticu
frame(specie,condition,value) # Grouped ggplot(data, aes(fill=condition, y=value, x=specie)) + geom_bar(position="dodge", stat="identity") 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # library library(ggplot2) # create a dataset specie <- c(rep("sorgho" , 3) , rep("poacee...
# library library(ggplot2) # create a data frame variety=rep(LETTERS[1:7], each=40) treatment=rep(c("high","low"),each=20) note=seq(1:280)+sample(1:150, 280, replace=T) data=data.frame(variety, treatment , note) # grouped boxplot ggplot(data, aes(x=variety, y=note, fill=...
This article describes how to compute and automatically add p-values onto grouped ggplots using the ggpubr and the rstatix R packages.You will learn how to:Add p-values onto grouped box plots, bar plots and line plots. Examples, containing two and three groups by x position, ar...
Plot types: grouped bar plots of the frequencies of the categories. Key function: geom_bar(). Demo dataset: diamonds [in ggplot2]. The categorical variables to be used in the demo example are: cut: quality of the diamonds cut (Fair, Good, Very Good, Premium, Ideal) color:...
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(dpi = 300) # Plot p <- ggplot(data = df, aes(x = Jahr, y = AntBev, fill = reorder(Bildungsstand, -rang))) + geom_bar(stat = "identity", position = position_dodge(width = 0.7), width = 0.6) + geom_errorbar(aes(x = Jahr, ymin = untAntBevKI, ymax = obAntBevKI), ...
导入模块 创建数据框架 用必要的函数绘制图形 在geom_bar( )函数中为堆栈设置位置参数 显示图表语法:geom_bar(position = "stack" , ...)例子# importing the ggplot2 library library(ggplot2) # creating data frame cities <- c(rep("Delhi", 3), rep("Mumbai", 3), rep("Chennai", 3), rep("...
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",...
> ggplot(data = gCount, aes(x = date,y = count, group = trt)) + + #geom_point(aes(shape = factor(trt))) + + geom_point(aes(colour = factor(trt), shape= factor(trt)), size = 3) + + #geom_line() + + geom_errorbar(aes(ymin=count-se,ymax=count+se), width=.1) ...