p + geom_text( aes(label = len, group = supp), position = position_dodge(0.8), vjust = -0.3, size =3.5) Add labels to a stacked bar plots. 4 steps required to compute the position of text labels: Group the data by the dose variable ...
geom_area( # Last two stacked bars data = ~ subset(.x, timepoint %in% c("pMRS", "dMRS")), # These exact values depend on the 'width' of the bars aes(y = c("pMRS" = 2.7, "dMRS" = 2.3)[as.character(timepoint)]), position = "stack", outline.type = "both", # Alpha set...
可以换一种思路,自己画x和y轴,并添加标签,但是会相当麻烦 ggplot(df, aes(reorder(manufacturer, cty), cty))+ geom_bar(stat = "identity", fill = "#c96464", width = 0.5)+ geom
ggplot barplot and error bars 10, 29.5)) dataset <- list(df=df,df2=df2) return(dataset) } dataset <- build_data() library(ggplot2...# 填充颜色和在头部添加标签 # 使用geom_text p1 <- p + geom_col(fill = "#0073C2FF") + geom_text(aes(label = len), vjust...# 堆叠条形图 ...
If you want to place the labels at the middle of bars, you have to modify the cumulative sum as follow : df_cumsum <- ddply(df_sorted, "dose", transform, label_ypos=cumsum(len) - 0.5*len) # Create the barplot ggplot(data=df_cumsum, aes(x=dose, y=len, fill=supp)) + geo...
d1 %>% ggplot(aes(x = Cul, y = yield, fill = ID)) + geom_bar(stat = "identity",position = position_dodge(), width=0.5, linewidth = 0.25) + geom_text(aes(label = yield),vjust = 0.3, size = 3.5, colour = "black") 这里面,比如ID是两个地点,Cul是5个品种,产量数据,比较两个...
title= "Diverging Bars") + coord_flip() 8、水平棒棒糖图(Diverging Lollipop Chart) library(ggplot2) theme_set(theme_bw()) ggplot(mtcars, aes(x=`car name`, y=mpg_z, label=mpg_z)) + geom_point(stat='identity', fill="black", size=6) + ...
以前,我们看到了使用ggplot2软件包制作图表的简短教程。它很快涉及制作ggplot的各个方面。现在,这是一个完整而完整的教程。现在讨论如何构造和自定义几乎所有ggplot。它涉及的原则,步骤和微妙之处,使图像的情节有效和更具视觉吸引力。因此,出于实用目的,我希望本教程可以作为书签参考,对您日常的绘图工作很有用。
6.2 堆积面积图(Stacked Area Chart) 6.3 日历热图(Calendar Heatmap) 6.4 季节性地块(Seasonal Plot) 7 群组(Groups) 7.1 分层树状图(Dendrogram) 7.2 聚类(Clusters) ...
Let’s draw a lollipop using the same data I prepared in the previous example of diverging bars. Here is how to make a lollipop chart in R: library(ggplot2) theme_set(theme_bw()) ggplot(mtcars, aes(x=`car name`, y=mpg_z, label=mpg_z)) + geom_point(stat='identity', fill="...