使用geom_text_repel 或 geom_label_repel是在绘图上正确放置标签的最简单方法。它会自动（和随机）地...
ggplot(mpg, aes(displ, hwy)) + geom_point(colour = "red") + ggrepel::geom_text_repel(data = mpg, aes(label = class)) Warning message: "ggrepel: 164 unlabeled data points (too many overlaps). Consider increasing max.overlaps"
mini_mpg<-mpg[sample(nrow(mpg),20),]ggplot(mpg,aes(displ,hwy))+geom_point(colour="red")+ggrepel::geom_text_repel(data=mini_mpg,aes(label=class))#> Warning: ggrepel: 8 unlabeled data points (too many overlaps). Consider#> increasing max.overlaps image 有时很难确保文本标签适合您想要...
ggplot(data, aes(x=wt, y=mpg)) + geom_point() + #显示点 geom_label( label="人生不设限", x=4.1, y=20, label.padding = unit(0.55, "lines"), #标签周围的矩形大小 label.size = 0.35, color = "black", fill="#69b3a2" ) 为所选标记添加标签 选择一组标记并仅注释它们。在这里进行...
The ggplot2 theme system handles non-data plot elements such as Axis labels Plot background Facet label backround Legend appearance Built-in themes include: theme_gray() (default) theme_bw() theme_classc() create a new theme theme_new<-theme_bw()+theme(plot.background=element_rect(size=...
scale_size_manual() : to change the size of points 文本注释 对图形进行文本注释有以下方法: geom_text(): 文本注释 geom_label(): 文本注释,类似于geom_text(),只是多了个背景框 annotate(): 文本注释 annotation_custom(): 分面时可以在所有的面板进行文本注释 ...
Prepare the data Basic scatter plots Label points in the scatter plot Add regression lines Change the appearance of points and lines Scatter plots with multiple groups Change the point color/shape/size automatically Add regression lines Change the point color/shape/size manually ...
y args adds ring to existing plot;# setting use.names to TRUE adds labelsringplot(VADeaths[,2], x=0, y=0, r0=0.65, r1=0.9, col=pal2,use.names=T, offset=0.05, srt=90)# write a label in the middletext(x=0, y=0, adj=0.5, label='Death rates\nin Virginia\n(1940)', cex=...
(x=Species.Rank, y=log10...image.png 这是因为即使没有文字,geom_label()也会在对应的位置添加文字边框添加文字标签的时候与对应的点有些重叠,可以选择出图后手动调整,也可以选择另外一个R包ggrepel里的geom_text_repel...接下来是简单的美化,包括去掉灰色背景更改y轴默认的刻度分隔点,现在是100,1000,...
data: 数据集,主要是data frame; Aesthetics: 美学映射,比如将变量映射给x,y坐标轴,或者映射给颜色、大小、形状等图形属性; Geometry: 几何对象,比如柱形图、直方图、散点图、线图、密度图等。 在ggplot2中有两个主要绘图函数:qplot()以及ggplot()。