scale_x_continuous("Axis title with *italics* and **boldface**") #ggtext模块助x轴名称使用斜体和加粗:该模块专助ggplot2 text渲染 p4 <- p3 + theme(axis.title.x = ggtext::element_markdown()) #labs函数便利设置坐标轴及图里名称 p5 <- ggplot(toy, aes(const, up)) + geom_point(aes(col...
ggplot图形的主题(theme)元素主要分为5大类:图形(plot)、面板(panel)、坐标轴(axis)、图例(Legend)和带形(Strip),通过theme()函数来统一控制图形的美学和文本特征,可以用于调整字体,背景色,前景色和网格线等。 对于面板的网格线,分为主线(panel.grid.major)和 次线(panel.grid.minor ),用户可以根据绘制图形的...
trans for axis transformations. Possible values are “log2”, “log10”, … The functions scale_x_continuous() and scale_y_continuous() can be used as follow : # Change x and y axis labels, and limits sp + scale_x_continuous(name="Speed of cars", limits=c(0, 30)) + scale_y_...
sec.axis = #定义第二坐标轴 ) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 统计变换参数备选:asn/atanh/boxcox/exp/identity/log/log10/log1p/log2/logit/probability/probit/reciprocal/reverse/sqrt p1 <- ggplot(mpg,aes(displ,hwy))+geom_point() a=p1+scale_x_co...
scale_x_continuous(name=,#坐标轴标签breaks=,#定义刻度minor_breaks=,labels=,#刻度标签limits=,expand=c(0.05,0),#坐标轴延伸,确保图形元素不覆盖坐标oob=censor,#识别越过边界的点na.value=NA_real_,trans='identity',#统计变换position='bottom',#left/right/topsec.axis=#定义第二坐标轴) ...
scale_y_continuous(name = "y1",#y1特征 sec.axis = sec_axis( trans=~.*3, name="y2"))#y2特征 当然,我们也可以对其图形类型进行更改: ggplot(df, aes(x=x)) + geom_bar(aes(y=y1), stat="identity", size=.1, fill=df$y1, color="black", alpha=.4)+ ...
ggplot2画图展示时,可用sec.axis直接添加标签。 核心函数: scale_x_date(expand=c(0,0))+#时间从原点(0,0)开始scale_y_continuous(limits=c(0,3600),expand=c(0,0),sec.axis=dup_axis(breaks=stock_last_df$last,labels=stock_last_df$company,name=NULL))+guides(color="none") ...
sec.axis=#定义第二坐标轴) 统计变换参数备选:asn/atanh/boxcox/exp/identity/log/log10/log1p/log2/logit/probability/probit/reciprocal/reverse/sqrt p1<-ggplot(mpg,aes(displ,hwy))+geom_point()a=p1+scale_x_continuous('L')+#同xlabscale_y_continuous("H")b=p1+scale_x_continuous(limits=c(0...
p+scale_y_continuous(limits = c(0,100),breaks = c(seq(0,90,10),99),sec.axis = sec_...
trans:轴转换,可以使用 “log2”, “log10”, … 下面是示例: 代码语言:javascript 复制 # Change x and y axis labels,and limits sp+scale_x_continuous(name="Speed of cars",limits=c(0,30))+scale_y_continuous(name="Stopping distance",limits=c(0,150)) ...