axis.text.y = element_text(face="bold", color="#993333", size=14, angle=45)) 修改了刻度标签的颜色,并逆时针旋转45度 4. 隐藏坐标轴刻度标签 当我们将axis.text*设置为element_blank()时,刻度标签将不再显示,除了坐标轴刻度标签,坐标轴上面还有坐标轴刻度axis_ticks、坐标轴主线axis_line,这两个参数...
ggtitle(“New main title”): 添加主标题 xlab(“New X axis label”): 修改x轴标签 ylab(“New Y axis label”): 修改y轴标签 labs(title = “New main title”, x = “New X axis label”, y = “New Y axis label”): 可同时添加主标题以及坐标轴标签,另外,图例标题也可以用此函数修改 修改...
subtitle_text <- "<span style = 'color:#E69F00'>DISCUSS:</span> what are <span style = 'color:#E69F00'>**next steps to improve errors**</span> at highest volume?<br><span style = 'font-size:10pt;color:grey60'>The subset of centers shown (19 out of 66) have the highest ...
label.size: x 轴上分组标签的字体大小。 pattern.color: 图案的颜色。 background.color: 图表背景颜色。 frame.color: 图表框架的颜色。 density: 密度参数,可能用于调整箱线图内密度图的显示。 legend.h: 图例的高度。 legend.x.pos 和 legend.y.pos: 图例在图表中的位置。 legend.pixel: 图例中图案的像...
geom_point(shape = 21, size = 3, col = "red", fill = "blue") + facet_wrap(~ cyl, scales = "free") 3 标签函数 xlab、ylab、ggtitle和labs等函数可以添加图形标签: xlab和ylab只有label一个参数,用于添加横、纵坐标的标签; ggtitle函数用于添加图形标题; ...
colour = "black", size = 0.5, linetype = 1), text = element_text(family = base_family, face = "plain", colour = "black", size = base_size, hjust = 0.5, vjust = 0.5, angle = 0, lineheight = 0.9), axis.text = element_text(size = rel(0.8), ...
ggplot(mtcars, aes(wt, mpg)) geom_point(aes(shape=factor(cyl)),color='green',size=3) geom_smooth() geom_point里面能重新指定映射(全局和局部的关系),也能添加参数改变图形属性,在点图的基础上还可以叠加光滑曲线(geom_smooth()) geom_(几何图形)和stat_(统计变换)都能作为一种叠加图层的方法,且两...
panel.border=element_rect(size=1),#修改刻度线朝里 axis.ticks.length=unit(-0.25,"cm"),#设置刻度label的边距 axis.text.x=element_text(margin=unit(c(0.5,0.5,0.5,0.5),"cm")),axis.text.y=element_text(margin=unit(c(0.5,0.5,0.5,0.5),"cm")))plot ...
_x_discrete 可以设置x轴显示的刻度,调整稀疏程度,比如 breaks=seq(0,12200,1000) > ggplot(data2[data2$name==11,], aes(x = Tetra, y = Freq, group = 1)) + geom_line(size=0.2) + theme_bw() + scale_x_discrete(breaks = colnames(data1)[seq(2,ncol(data1), 15)]) + theme(axis....
ggplot(data=Arthritis, mapping=aes(x=Improved))+geom_bar(stat="count",width=0.5, color='red',fill='steelblue')+geom_text(stat='count',aes(label=..count..), vjust=1.6, color="white", size=3.5)+theme_minimal() 当stat="identity"时,设置文本的标签需要设置y轴的值,aes(lable=Freq),表示...