legend:指定legend的位置,主要选项有:top、bottom、left、right。 ggarrange(bxp, dp, labels = c("A", "B"), common.legend = TRUE, legend = "bottom") 含有边际密度图的散点图 sp <- ggscatter(iris, x="Sepal.Length", y="Sepal.Width", color="Species", palette = "jco", size=3, alpha=...
=ODI, aes(x=match, y=runs,fill=match))+ geom_bar(stat="identity") perf # Manually adding axis labels and Plot Label ggp<-perf+labs(x="Matches",y="Runs Scored", title="Runs scored by Virat Kohli in ODI matches") # Move legend to bottom position of the plot ggp + theme(legend....
legend:指定legend的位置,主要选项有:top、bottom、left、right。 ggarrange(bxp, dp, labels = c("A", "B"), common.legend = TRUE, legend = "bottom") 含有边际密度图的散点图 sp <- ggscatter(iris, x="Sepal.Length", y="Sepal.Width", color="Species", palette = "jco", size=3, alpha...
(color = "gray12", size = 30), #TAMANHO das letras dos meses # Move the legend to the bottom legend.position = "bottom" )+ # Add labels labs( title = "\nCanavalia rosea", sep = "\n") + # Customize general theme theme( text = element_text(color = "gray12", family = "...
common.legeng=TRUE:在图形旁边添加图例 legend:指定legend的位置,主要选项有:top、bottom、left、right。 ggarrange(bxp,dp,labels=c("A","B"),common.legend=TRUE,legend="bottom") 1. 含有边际密度图的散点图 sp<-ggscatter(iris,x="Sepal.Length"...
#move legends to bottomggplot(mtcars, aes(wt,mpg,colour=cyl,size=hp))+geom_point()+easy_move_legend("bottom") #move legend to left sideggplot(mtcars, aes(wt,mpg,colour=cyl,size=hp))+geom_point()+easy_legend_at("left") #Make legends horizontalggplot(mtcars, aes(wt,mpg,colour=cyl,...
If we want to move the legend on our graph, for instance, when we visualize the condition in different colors, we can use thetheme()function and thelegend.positionattribute. The values thatlegend.positiontakes are“bottom”,“top”,“right”, or“bottom”. You can also pass the coordinates...
Let’s move the legend to the bottom and make sure to always have square tiles with ‘coord_equal()’.worldgrid + geom_rect(color = "#ffffff") + mytheme + geom_text(aes(x = x, y = y, label = alpha.2), color = "#ffffff", alpha = 0.5, nudge_x = 0.5, nudge_y = -0.5...
legend.position=c(1,0))#Positionlegendinbottom right 条形图 # 转换为因子类型 tgc2 <- tgc tgc2$dose <- factor(tgc2$dose) # Error bars represent standard error of the mean ggplot(tgc2, aes(x=dose, y=len, fill=supp)) + geom_bar(position=position_dodge(), stat="identity") + ...
legend.position=c(1,0)) # 右下方放置图例 plot of chunk unnamed-chunk-5 直方图 直方图绘制误差棒也非常相似。 注意tgc$dose必须是一个因子。如果它是一个数值向量,将会不起作用。 #将dose转换为因子变量 tgc2 <- tgc tgc2$dose <- factor(tgc2$dose) ...