ggplot(data, aes(x, y)) + # Specifying legend in geom geom_point(aes(col = group))The output is the same as in Example 2.Note that I illustrated how to create a legend based on a scatterplot. Of case we could a
In this case, we are creating a legend at the bottom of the plots. However, you may modify this legend to your specific needs.# Create plot with legend ggp1_legend <- ggplot(data1, aes(x = x, y = y, group = group, col = group)) + geom_point() + theme(legend.position = "...
You can also give the X and Y coordinate of the legend: legend(3, 5, ...) Note that an equivalent page exist concerning legends with ggplot2. # Create data: a=c(1:5) b=c(5,3,4,5,5) c=c(4,5,4,3,1) # Make a basic graph plot( b~a , type="b" , bty="l" , xl...
annotation_custom(): Adds static annotations that are the same in every panel It’s also possible to use the R packageggrepel, which is an extension and providesgeomfor ggplot2 to repeloverlapping textlabels away from each other. We’ll start by describing how to use ggplot2 official functio...
R语言 自定义ggplot2中add_quantile小提琴图的美学如果你查看.subset2(GeomViolin, "draw_group")的...
参考:Add P-values and Significance Levels to ggplotsggpubr的包比较局限,能用的test也比较局限,但是做起来快速简单。当情况特殊时ggpubr就不能用了,可以自己做了显著性test之后再显示在图上。1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 ...
> for(i in c(FALSE,TRUE)){ + barplot(VADeaths,horiz = i,beside = T,col = rainbow(5)) + } > par(mfrow=c(1,1)) 1. 2. 3. 4. 5. 由于多个柱子水平并列展示,所以需要添加图例方便解读数据。可以设置legend.text参数来实现。执行以下代码得到的结果如图3-23所示。
show.legend logical. Should this layer be included in the legends?NA, the default, includes if any aesthetics are mapped.FALSEnever includes, andTRUEalways includes. It can also be a named logical vector to finely select the aesthetics to display. ...
添加图例(legend) 在添加subplot的时候传入label参数来添加图例 fig=plt.figure() ax=fig.add_subplot(1,1,1) ax.plot(np.random.randn(1000).cumsum(),'k',label='one',color='r') ax.plot(np.random.randn(1000).cumsum(),'k--',label='two',color='g') ...
french_city %>% ggplot(aes(x = lng, y = lat)) + stat_maptiles() + geom_point(aes(color = admin_name), size = 3, show.legend = FALSE) + theme_void() + mapview() And that's it! In the following sections, options and guidance for how to use stat_maptiles are highlighted...