seed(1234) ss <- sample(1:32, 15) df <- mtcars[ss, ] #(2) Create a scatter plot: 绘制散点图 p <- ggplot(df, aes(wt, mpg)) + geom_point(color = 'red') + theme_classic(base_size = 10) #(3) Add text labels: 添加文本标签 # Add text annotations using ggplot2::geom_...
# 跨两列的条形图 bxp, sp, # 箱线图和散点图 ncol = 2, nrow = 2, layout_matrix = rbind(c(1,1), c(2,3))) # Add labels to the arranged plots p <- as_ggplot(gt) + # 将gt转换为ggplot draw_plot_label(label = c("A", "B", "C"), size = 15, x = c(0...
Add labels for a selection of marker Last but not least, you can also select a group of marker and annotate them only. Here, only car withmpg> 20 andwt> 3 are annotated thanks to a data filtering in thegeom_label()call. # librarylibrary(ggplot2)library(dplyr)library(tibble)# Keep 30...
2.2ggarrange()(in ggpubr) # 图形重排,图形的排列顺序取决于ggarrange图形的排列顺序# bp + rremove("x.text"),移除图形bp的x坐标轴标签ggarrange(bxp,dp,bp+rremove("x.text"),labels=c("A","B","C"),ncol=2,nrow=2) 2.3plot_grid()[in cowplot] install.packages("cowplot")library(cowplot)pl...
Example 1: Add Labels to Base R Scatterplot This Example illustrates how to drawlabelsto a plot created with the basic installation of the R programming language. For this, we have to use theplot()andtext()functions as shown below. Note that we have to increase the xlim of our plot to...
add = "mean") p12 ggbarplot # Add error bars: mean_se 添加不同类型的误差棒 # (other values include: mean_sd, mean_ci, median_iqr, ...) # Add labels p13 <- ggbarplot(df3, x = "dose", y = "len", add = "mean_se", label = TRUE, lab.vjust = -1.6) p13...
(enable=TRUE)# 添加字体font.add('SimSun','simsun.ttc')# Modify theme components# 修改主题gg+theme(# 设置标题plot.title=element_text(size=20,# 字体大小face="bold",# 字体加粗family="SimSun",# 字体类型color="tomato",# 字体颜色hjust=0.5,# 标题离左边距距离lineheight=1.2),# 线条高度# 设置...
手动更改轴文本可以使用scale_y_continuous或scale_x_continuous自由更改轴文本标签: bars 在轴标签中添加千位分隔符可以指定轴文本具有千位分隔符,并带有scale_y_continuous的参数。...scientific = FALSE)) 第二种方法依赖于scales包,但是更加简洁: + scale_y_continuous(labels = scales::comma) 将百分比符号添加...
# Add Title and Labels # 添加标签,标题名,小标题名,说明文字 g1 + labs(title="Area Vs Population", subtitle="From midwest dataset", y="Population", x="Area", caption="Midwest Demographics") 1. 2. 3. 4. 5. 6. 7. 8. 9.
add labels to a horizontal column plot (stacked by default) ggplot(data = df, aes(x2, x1, group = grp)) + geom_col(aes(fill = grp), width=0.5) + geom_hline(yintercept = 0) + geom_text( aes(label = grp), position = position...