方法1, labs() ggplot中图例框的名字和坐标轴的名字都可以通过labs()来改变,例如: library(ggplot2) data=data.frame(x=1:10,y=1:5,z=factor(1:5)) ggplot(data,aes(x=x,y=y,shape=z,color=z,size=x))+geom_point()+ labs(x='横轴',y='纵轴',shape='形状',color='颜色',size='尺寸') ...
geom_jitter(aes(color=variable),width=.2,size=1.5)+ #加上抖点 labs(title = 'Boxplot')+ scale_color_brewer(palette = 'Set1')+ #换一组颜色 theme_classic(base_size = 15)+ #换个主题 theme(legend.position = 'none', panel.border = element_rect(fill = 'transparent',size = 1), plo...
d3 <- ggplot(dsamp, aes(carat, price)) geom_point(aes(colour = clarity)) scale_color_brewer(palette='PiYG') labs(title='PiYG')grid.arrange(d,d1,d2,d3,nrow=2) 调整映射参数 scale_alpha()、scale_shape()、scale_size() p1 <- ggplot(mpg, aes(displ, hwy)) geom_point(aes(alpha...
scale_x_continuous(limits = c(1,7),breaks=seq(0,7,1))+ #x坐标轴刻度标签和范围 scale_y_continuous(limits = c(10,45),breaks=seq(10,45,10))+ #y坐标轴刻度标签和范围 geom_hline(yintercept=15,size=0.5,linetype=2,color="blue")+ ##横轴的虚线 labs(title ="", ##添加X,Y,主标题...
axis.text.y = element_text(size = 8), axis.text.x.bottom = element_text(size = 8, angle = 45, hjust = 1, vjust = 1)) + labs(x=NULL,y=NULL) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 示例2:离散型标尺将带有因子水平的视觉线索(如颜色,形状,尺寸,线条类型和透明度)关联起来 ...
pg +labs(title="test title", subtitle="test subtitle", tag="A tag", caption="A caption") +theme_bw +theme(legend.position = c(0.8,0.8),strip.placement ="outside",axis.title.x=element_text(size=10),plot.title = element_text(size =22),plot.subtitle = element_text(size =16),plot...
p + theme_bw() + # 切换背景主题 labs(x = "Sepal Length", y = "Sepal Width", title = "Iris Sepal") + # 修改X,Y轴标题,加上主标题 theme(plot.title = element_text(size = 15, face = "bold", hjust = 0.5), # 调整标题字体大小,改为粗体,使其居中对齐 axis.title = element_text...
n可以使得长标题进行换行labs(x="Samples",y="相对丰度\n Relative Abundance",fill="Phylum",title="属水平的相对丰度堆叠柱形图")+theme(#标题字体设置text=element_text(size=12),#设置标题居中hjust = 0.5plot.title=element_text(hjust=0.5,vjust=0.5),#Y轴字体设置axis.text.y=element_text(size=12,...
labs(x="Weight", y="Miles Per Gallon", title="Bubble Chart", size="Engine\nDisplacement") 结果分析:按里程划分的汽车重量的气泡图。点的大小代表发动机排量,aes()函数的参数size=disp生成连续型变量disp(发动机排量)的标尺,并使用它来控制点的尺寸。结果如图所示的气泡图。从该图中可以看出汽车里程随重量...
text", x = -1, angle = 90, size = 3, fontface = "bold" ) gg <- gglikert(df, labels_size = 2) + aes(y = reorder( .question, ifelse(.answer %in% c("Strongly disagree", "Disagree"), 1, 0), FUN = sum, decreasing = TRUE )) + theme(axis.text.y = element_text(size ...