坐标轴刻度标签可以通过设置theme函数中的axis.text*参数进行设置,这些参数对应的数据类型为element_text()类型,所以只需要修改element_text()中的参数后再赋值给对应axis.text参数即可。 通过查看函数帮助文档可以发现有axis.text, axis.text.x, axis.text.x.top, axis.text.x.bottom, axis.text.y, axis.text....
4. 如何更改标题和轴标签(How to Change the Title and Axis Labels) 5. 如何更改点的颜色和大小(How to Change the Color and Size of Points) 5.1 如何将颜色和尺寸更改为静态?(How to Change the Color and Size To Static?) 5.2 如何更改颜色以...
axis.title.y = element_text(color = "orangered", size = 15)) 调整坐标轴文本美学 类似地,还可以使用axis更改坐标轴文本(这里是数字)的外观。通过文本和/或附属元素axis.text.x和axis.text.y: ggplot(chic, aes(x = date, y = temp)) + geom_point(color = "firebrick") + labs(x = "Year",...
调整日期刻度标签的格式library(scales)#使用scales包中的date_format()函数来指定格式scale_x_date(breaks=datebreaks,labels=date_format("%Y %b"))日期格式应放入一个字符串中传递给date_format()。 日期刻度标签的外观的调整跟前面刻度参数调整一样。theme(axis.text.x=element_text(angle=30,hjust=1)) 常用...
# ggplot2: subscript in y-axis labels rm(list=ls(all=TRUE)) library(ggplot2) dat <- data.frame(x = rnorm(100), y = rnorm(100)) ggplot(dat, aes(x=x,y=y)) + geom_point() + labs(y=expression(Blah[1*d])) ggplot(dat, aes(x=x,y=y)) + ...
label_name = c("3月28日", "4月4日", "4月11日", "4月18日") axis(1, at = ticks, labels = label_name, tcl = -0.3) ggplot复刻 p = ggplot(people_index, mapping = aes(x = date, y = index)) p + geom_line() + xlab("时间") + ylab("百度搜索指数(万)") + ggtitle("...
A ggplot Memo: Legend, Label and Font Size 1. Introductionggplot is one of the most famous library in R and I use it very ofen in daily workflow. But there are three topics I seldomly touch before: legend, label and font size.
plot of chunk unnamed-chunk-8 移除刻度线和标签 需要在theme()中修改。 代码语言:javascript 复制 p<-ggplot(diamonds,aes(cut,price))+geom_boxplot()# 外观也是可以修改的 p1<-p+theme(axis.ticks.x=element_line(color="red",size=2))p2<-p+theme(axis.ticks=element_blank())p+p1+p2 ...
# Change the color, the size and the face of # the main title, x and y axis labels p1 <- p + theme( plot.title = element_text(color="red", size=14, face="bold.italic"), axis.title.x = element_text(color="blue", size=14, face="bold"), ...
labels=c("Control", "Treat 1", "Treat 2")) 1. 2. 3. # 隐藏 bp + scale_x_discrete(breaks=NULL) 1. 2. # 也能够这样通过设置 theme 实现 bp + theme(axis.ticks = element_blank(), axis.text.x = element_blank()) 1. 2. ...