p = ggplot(ToothGrowth, aes(x=dose, y=len, color = dose)) + geom_boxplot() p 也可以使用以下函数手动更改箱线图的颜色: scale_color_manual() : 使用自定义颜色 scale_color_brewer() :使用来自 RColorBrewer 包的调色板 scale_color_grey() :使用灰色调色板 p1 = p + scale_color_manual(valu...
e2 + scale_color_brewer(palette="Dark2")e2 + scale_color_grey()改变填充色 e3 <- e + geom_boxplot(aes(fill = dose)) + theme_minimal()e3 + scale_fill_manual(values=c("#999999", "#E69F00", "#56B4E9"))e3 + scale_fill_brewer(palette="Dark2")e3 + scale_fill_grey()多组箱...
geom_half_violin(alpha=0.5)+#绘制半个小提琴图 geom_boxplot(fill="white",color="black",position = position_nudge(x=-0.05), width=0.1,alpha=0.5)+#绘制箱线图 geom_jitter(width = 0.2,shape=21)+#width为横向抖动,不改变对应y值 scale_fill_brewer(palette = "Set2")+#对柱的填充颜色进行调整...
之前我们学习了ggplot绘制单变量，两个连续变量的图形，两个离散型变量。一个离散型变量，一个连续型变量：包括箱图，点图等等 • geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() for line plot• g...
A boxplot summarizes the distribution of a continuous variable. Different color scales can be apply to it, and this post describes how to do so using the ggplot2 library. It is notably described how to highlight a specific group of interest. ...
ggplot(data, aes(x=group, y=value, fill=group))+# Change filling colorgeom_boxplot() By running the previous R code, we have managed to create Figure 3, i.e. a boxplot with different filling colors for each box. Note that we could specify both the col and fill arguments at the ...
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...
boxplot1 <- ggplot(heartrt,aes(x=class,y=hr,fill=class))+geom_boxplot() 3.让图形更美观 #fill:填充颜色 color:线条颜色 boxplot1 <- ggplot(heartrt,aes(x=class,y=hr,fill=class))+ geom_boxplot()+ scale_fill_brewer(palette = "Set3")+ labs(title = "The distribution of resting hea...
ggplot(data = plotdata, aes(x = Group, y = Index, color = Group)): 初始化一个 ggplot 对象,使用 plotdata 数据框,并设置分组变量 Group 映射到 x 轴,指标 Index 映射到 y 轴,同时 Group 映射到颜色,用于区分不同组的颜色。 stat_boxplot(geom = "errorbar", width = 0.15): 添加一个箱...
.ymax..),width=0.2,size=0.35) + stat_boxplot(geom = "errorbar", aes(ymax = ..ymin..),width=0.2,size=0.35) + geom_boxplot_pattern(aes(pattern = year,pattern_angle = year,fill=year), pattern = 'tiling3', pattern_angle = 45,color="black", pattern_spacing = 0.045,outlier....