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....
width='100' />*I. virginica*" After that the labels can be changed and printed with markdown: p+scale_x_discrete(name=NULL,labels=rev(labels))+theme(axis.text.y=element_markdown(color=size
{ out <- ggplot(data = .dt) + geom_col(mapping = aes(x=.nms, y=Quartiles)) + labs(title = .tit, subtitle = .sub, xlab = .xl, ylab = .yl) + theme_light() } gg1 <- quart_iles(.data = tibble(10:13)) gg1 r ggplot2 graphics label axis-labels Share Improve...
labs(y=expression(Blah[1*d]*"%")) # from:http://stackoverflow.com/questions/17334759/subscript-letters-in-ggplot-axis-label #http://stackoverflow.com/questions/8514478/subscripts-in-xlabels-in-ggplot2 #http://stackoverflow.com/questions/15125628/putting-mathematical-symbols-and-subscripts-mixed-...
axis tick marks和legend tick marks是scale breaks的特殊案例,通过scale函数的breaks参数设置。 主要刻度 每个break对应一条major gridline,两个主要网格线之间有一条minor gridline,对应minor breaks。breaks参数用来设置主要刻度标签的位置,minor_breaks参数用来设置次要刻度标签的位置。
labels = scales::percent, position = 'top') + labs( title = 'Accuracy rates for highest volume warehouses', y = 'WAREHOUSE ID', x = '% OF TOTAL ORDERS FULFILLED',) + theme(axis.line.x = element_line(colour = 'grey50'),
p <- ggplot(data=iris,aes(x=Species,y=Sepal.Length))+ geom_boxplot()+scale_x_discrete(breaks=c("setosa","virginica","versicolor"),labels=c("type1","type2","type3")) #修改刻度标签的样式 p <- ggplot(data=iris,aes(x=Species,y=Sepal.Length))+ geom_boxplot()+theme(axis.text.x...
axis.ticks.length = unit(0.15, "cm"), axis.ticks.margin = unit(0.1, "cm"), legend.background = element_rect(colour = NA), legend.margin = unit(0.2, "cm"), legend.key = element_rect(fill = "grey95", colour = "white"), legend.key.size = unit(1.2, "lines"), ...
(10, 20, 30)) # 绘制散点图,并自定义轴标签外观 ggplot(data, aes(x, y)) + geom_point() + scale_x_continuous(breaks = c(1, 2, 3), labels = c("低", "中", "高")) + scale_y_continuous(breaks = c(10, 20, 30), labels = c("低", "中", "高")) + theme(axis.text...
axis.ticks = element_blank(), text = element_text(family = "sans"), axis.title = element_text(color = "gray30", size = 12), axis.text = element_text(size = 10, color = "gray30"), plot.title = element_text(size = 14, hjust = .5, color = "gray30"), ...