ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(shape = 18, color = "steelblue", size = 4)fill可改变填充色，只适用于形状是21-25 ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(shape = 23, fill = "blue", color = "darkred", size = 3)添加分组元素（默认 gg...
e + geom_boxplot()旋转的箱图 e + geom_boxplot() + coord_flip()凹陷的箱图（缺口显示中位数以及置信区间）e + geom_boxplot(notch = TRUE)显示均线的箱图 e + geom_boxplot() + stat_summary(fun = mean, geom = "point", shape = 18, size = 4, color = "blue")scale_x_discrete...
stat_boxplot(geom="errorbar",width=0.1,size=0.8)+ geom_boxplot(fill="white",outlier.color=NA)+ stat_summary(fun=mean,geom="point",size=3,color="blue") 8、修改误差棒线条类型: ggplot(df,aes(group1,value))+ stat_boxplot(aes(color=group1),geom="errorbar",width=0.1,size=0.8,linetyp...
ggplot(ToothGrowth, aes(x = dose, y=len)) + geom_boxplot(notch=TRUE, outlier.colour = "blue", outlier.shape = 6, outlier.size = 5) 函数stat_summary()可用于将平均点添加到箱线图中: # 将均值点加入mean p + stat_summary(fun.y = mean, geom = "point", shape = 23, size=4) 选择...
factor(gt))) + geom_boxplot(outlier.shape = NA) + ggtitle("IL1B") + geom_jitter(width=0.2,col='gray45') + theme_classic() + scale_fill_manual(values = c("#00AFBB", "#E7B800", "#FC4E07")) p4 p5<-dat02 %>% filter(cytokine == "IL10") %>% mutate(new_value=qqnorm(...
geom_point(size=2) 结果分析:使用scale_color_manual()函数来设定三个学术等级的点的颜色,可以看到,随着教龄的增大,大部分教授的薪水时越来越多的。 4主题 theme()函数中的选项可以让我们调整字体、背景、颜色和网格线等。主题可以使用一次,也可以保存起来应用到多个图中。运行下面的代码: ...
plot of chunk unnamed-chunk-4 反转连续型坐标轴 直接使用scale_x_reverse()/scale_y_reverse()。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 p<-ggplot(diamonds,aes(carat,price))+geom_point()p1<-p+scale_x_reverse()p+p1 plot of chunk unnamed-chunk-5 ...
geom_boxplot(aes(color=sex),outlier.shape = NA, size=1.5, show.legend = F) + geom_point(aes(color=sex), position=position_jitterdodge(dodge.width=0.9), size=3) + scale_color_manual(values=c("#0072B2", "#CC79A7"), name="", labels=c("Male", "Female")) + ...
geom_point(mapping =aes(x = displ, y = hwy, size = class)) ggplot(data = mpg) + geom_point(mapping =aes(x = displ, y = hwy, alpha = class)) ggplot(data = mpg) + geom_point(mapping =aes(x = displ, y = hwy, shape = class)) ...
geom_boxplot(color = 'white', width= 0.15,#箱子宽度 size= 0.8,#外轮廓描边粗细 fill= NA) p4 p5<- p3 + geom_boxplot(color = 'white', width= 0.15, size= 0.8, fill= NA) p5 若数据散点非常密集,可选择绘制蜂群散点,会更加整齐美观。蜂群图绘制具体可戳往期推文: 《从散点到多样式蜂群图...