p <- ggplot(data, aes(x = lable, y = mean, fill = group)) + # 基本图层 scale_fill_manual(values=c("#F0E442", "#D55E00")) # 条形图填充颜色 条图+ 误差线 p <- p + geom_bar(stat = "identity", color="black", width = 0.55, posit
今天还找到了一份参考资料r - How to plot a Stacked and grouped bar chart in ggplot? - Stack Overflow 这里介绍到的方法是分隔数据集,比如还是用上面构造的dat这个数据集 代码语言:javascript 代码运行次数:0 运行 AI代码解释 dat$x<-ifelse(dat$continent=="Asia",1,ifelse(dat$continent=="EU",2,3...
fill = factor(am)), show.legend = F) # 手动分配颜色 ggplot()+ geom_bar(data = Data %...
Stacked barchart A stacked barplot is very similar to the grouped barplot above. The subgroups are just displayed on top of each other, not beside. The only thing to change to get this figure is to switch thepositionargument tostack. ...
geom_bar(width = 1) # Convert wide.bar to pie chart wide.bar + coord_polar(theta = "y") 6、分面(facet) Facets是表现分类变量的一种方式。 先将数据划分为多个子集, 然后将每个子集数据绘制到页面,在同一个页面上摆放多幅图形 ggplot2提供了2种分面类型:网格型(facet_grid)和封装型(facet_wrap...
ggbarplot(df2,x="name",y="mpg_z",fill = "mpg_grp",color = "white",palette="jco",sort.val = "asc",sort.by.groups = FALSE,x.text.angle=60,ylab="MPG z-score",xlab = FALSE,legend.title="MPG Group", rotate=TRUE) 1 g...
在`ggplot2`中,对时间序列图表进行渐变填充批注通常涉及到使用`geom_area`或`geom_ribbon`结合渐变色映射。以下是一个基础的示例,展示如何创建一个具有渐变填充的时间序列图表,...
geom_bar(position = 'dodge') #复杂一点(调整图例位置) opar<-par(no.readonly=T) par(mar=c(5,5,4,2)) #自定义图形边界,默认c(5,4,4,2) par(las=2) #定义标签垂直于坐标轴 par(cex.axis=0.75) #定义坐标轴文字缩放倍数 count<-table(Arthritis$Improved) ...
代码组成如下,这里使用格式刷mybar和mytheme,然后用geom_text添加柱形图标签(vjust=1表示在柱形图里面显示) data1<-diamonds %>% group_by(cut) %>% summarize(avg_price=mean(price)) 柱形图<-ggplot(data1,aes(x=cut,y=avg_price,fill=as.factor(cut)))+ ...
ggp2<-ggp1+# Add line to barplotgeom_line(aes(group, responses*max(sample),group=1), col="#1b98e0", lwd=3)ggp2 Figure 2 shows an updated version of our barchart: This time we have added a line on top of the bars. Note that this line represents a different variable than the ...