ggplot2的主题系统可以让我们更好的控制图形非数据元素的细节,通过更加精细的修改来提升图像的美感,ggplot2 的主题系统自带多个element_功能 element_text( ) element_line( ) element_rect( ) element_blank( ) 本节来介绍主题元素element_text() ,使用它控制绘图中文本元素的许多部分,如字体大小、颜色和字体类型...
element_text函数是ggplot2包中的一个函数,用于设置图形中文本的样式和属性。使用element_text可以自定义文本的字体、大小、颜色、加粗、斜体等属性。 element_text函数的语法如下: ``` element_text(family = NULL, face = NULL, colour = NULL, size = NULL, hjust = NULL, vjust = NULL, angle = NULL,...
library(ggplot2)p<-ggplot(mpg, aes(cty,hwy))+geom_point()+facet_wrap(vars(cyl))+labs(title="City vs. Highway Mileage by Cylinders",caption="Values are in MPG.")+theme(plot.background=element_rect(color="black",linewidth=1),axis.title.y=element_text(angle=0,vjust=0.5),strip.text=...
1. 2. 步骤2:创建绘图对象 #加载ggplot2包library(ggplot2)#创建绘图对象p <- ggplot(data, aes(x = x, y = y)) + geom_point() 1. 2. 3. 4. 5. 步骤3:设置x轴字体旋转角度 #使用theme函数调整x轴文字p + theme(axis.text.x = element_text(angle = 45, hjust = 1)) 1. 2. 步骤4:...
element_text(family = NULL, face = NULL, color = NULL, size = NULL, hjust = NULL, vjust = NULL, angle = NULL, lineheight = NULL, margin = margin(), debug = getOption("ggplot2.debug")) 其中,family参数用于设置字体样式,可以选择常用的字体样式,如"serif"、"sans"、"mono"等。face参数...
问ggplot2:主题(axis.text=element_text(size=3))不改变y轴上的字体大小EN文章来源："Preoperative ...
library(ggplot2) ggplot(mtcars, aes(wt, mpg)) + geom_point() + theme(axis.text.y = element_text(colour = c("red", "green", rep("black", 4))) #> Warning: Vectorized input to `element_text()` is not officially supported. #> Results may be unexpected or may change in future...
ggplot2: elegant graphics for data analysis. Basel: Springer Nature; 2016. Book Google Scholar Hoskins RA, Carlson JW, Wan KH, Park S, Mendez I, Galle SE, et al. The release 6 reference sequence of the Drosophila melanogaster genome. Genome Res. 2015;25(3):445–58. Article PubMed ...
ggplot(aes(x=flipper_length_mm, y=bill_length_mm, color=species, shape=sex))+ geom_point+ labs(title="Palmer Penguins", subtitle="Flipper Length vs Bill Length", caption="@RUser", tag ='A' ) p 效果图如下: 一、主图相关的文本信息做自定义 ...
periods <-c(1,2,3) periodLabels <- c("Jan", "Feb \n 21", "Mar") data <- data.frame(period = periods, y = c(10, 20, 30)) ggplot(data, aes(period, y)) + geom_tile() + coord_cartesian(expand = FALSE) + # scales scale_x_continuous(breaks = periods, labels = periodLab...