2)Example 1: Add Vertical Line to ggplot2 Plot Using geom_vline() Function 3)Example 2: Add Horizontal Line to ggplot2 Plot Using geom_hline() Function 4)Example 3: Add Vertical & Horizontal Lines to ggplot2 Plot 5)Example 4: Add Multiple Vertical Lines to ggplot2 Plot Using seq()...
ggplot(df_linear_associations, aes(x = beta, y = name)) +geom_effect(filled = filled,size = size,position = position) +scale_colour_nejm() +labs(title = "Example of ggforestplot::geom_effect function",subtitle = "processed charts with geom_effect()",caption = "Visualization by DataCha...
Now, we can draw a basic ggplot2 line plot without any vertical lines as follows:ggp <- ggplot(data, aes(my_dates, my_values)) + # Create basic ggplot geom_line() ggp # Draw basic ggplotFigure 1: ggplot2 Line Plot with Default Specifications.Figure 1 illustrates the output of the ...
这里新学到的知识点是使用stat_summary()函数添加置信区间,之前自己也实现过这个图,但是需要提前算好置信区间和平均值,比如之前的推文 R语言ggplot2画带有置信区间的折线图和分组求均值遇到的一个问题,如果换成 stat_summary() 这个函数以后就方便很多 好了,今天的内容就到这...
...x <- runif(50,0,2) y <- runif(50,0,2) plot(x, y, main="我的第一个散点图", sub="subtitle", xlab="横坐标", ylab...axis(1) #添加横轴 axis(at=seq(0,2,0.5), side=2) #添加纵轴 box() #补齐散点图的边框 title(main="散点图", sub="subtitle",...ggplot(...
ggforestplot包符合ggplot2绘图语法,熟悉ggplot2的小伙伴可能更加适应一下,接下来,小编举几个例子具体介绍下~ 「样例一:」 forestplot()函数绘制 代码语言:javascript 代码运行次数:0 运行 AI代码解释 library(ggforestplot)library(tidyverse)df_linear<-ggforestplot::df_linear_associations%>%dplyr::arrange(name)%...
enrichplot是基于ggplot2的,所以所有的ggplot2特性都是支持的。 条形图 通过barplot实现,此函数只能对接enrichResult对象,所以GSEA的结果它是画不出来的哦~ 用于展示最重要的或者你感兴趣的条目的富集结果,比如富集到的基因个数、条目名字,P值等信息。 library(enrichplot) p1 <- barplot(ora_res, showCategory...
具体内容如下：绘制折线图：library(ggplot2) # 绘制折线图 ggplot(sales, aes(x = region, y = ...
library(ggplot2) ggplot(df, aes(x = depth, y = color)) + geom_density_ridges() geom_density_ridges2 Note that there is an equivalent function namedgeom_density_ridges2which uses closed polygons to display the density estimates, so the line will also appear at the bottom of each density...
a <- ggplot(wdata, aes(x = weight)) The following R code creates some basic density plots with a vertical line corresponding to the mean value of the weight variable (geom_vline()): # Basic density plots# y axis scale = stat(density) (default behaviour)a + geom_density() + geom_...