geom_col(position = "dodge") + geom_errorbar(aes(ymin = Weight - se, ymax = Weight + se), position = "dodge", width = .2, size =2) #可以发现组内的误差棒不再堆砌,而是两个左右组成一组,同时其顶端各自的宽度都变短了(应该是两个加起来的width是原来的一个) 3.3 问题来了,上图的误差...
geom_errorbar(width = .1, position = position_dodge(.6))运行后输出如下：到现在图中有两个geom，一个bar，一个是errorbar，我们的数据信息已经全部通过geometry展示出来了。接下来修饰细节，首先是改变颜色，我们需要指定一下映射的颜色，具体来讲我们是改变fill的填充色，所以需要用到scale_fill_manual函数。...
p <- plot %>% ggplot(aes(Id,value_mean,fill=group,group=group, ymin=value_mean-se,ymax=value_mean+se))+ geom_errorbar(width=0.2)+ geom_line(color="black")+ geom_point(aes(pch=group,color=group,fill=group),size=3)+ scale_shape_manual(values=c(25,21,22,24))+ scale_fill_npg...
top_bar <- function(x){ return(mean(x)+sd(x)) } bottom_bar <- function(x){ return(mean(x)-sd(x)) } ggplot(data,aes(x_value,value, pch=variable,color=variable))+ stat_summary(geom = 'point',size=3)+ stat_summary(geom = 'errorbar',width=.05,cex=0.5, fun.min = bottom_...
Error bar f <-ggplot(df2, aes(x = dose,y = len))f + geom_errorbar(aes(color = dose,ymin = len-sd,ymax = len+sd),width = 0.2)# 加上连线f + geom_line(aes(group = 1)) +geom_errorbar(aes(color = dose,ymin = len-sd,ymax = len+sd),width = 0.2)# 加上柱子f + ...
(ymin=`Enrichment statistic`-`Standard Error of Enrichment Statistic`, ymax=`Enrichment statistic`+`Standard Error of Enrichment Statistic`), width=0.4)+ scale_x_continuous(limits = c(0.5,10.5), breaks = 1:10)+ scale_y_continuous(limits = c(0,9), breaks = 0:8)+ theme_classic()+ ...
geom_errorbar(aes(ymin=len-se, ymax=len+se), colour="black", width=.1, position=pd) + geom_line(position=pd) + geom_point(position=pd, size=3, shape=21, fill="white") +# 21 is filled circle xlab("Dose (mg)") + ylab("Tooth length") + ...
width=.2, # Width of the error bars position=position_dodge(.9)) # Use 95% confidence intervals instead of SEM ggplot(tgc2, aes(x=dose, y=len, fill=supp)) + geom_bar(position=position_dodge(), stat="identity") + geom_errorbar(aes(ymin=len-ci, ymax=len+ci), width=.2, #...
geom_bar(mapping=aes(x=cut,fill=cut))+ theme_classic() 1. 2. 3. 其对应关系为 如果想画箱线图: ggplot(data = mpg,mapping=aes(x=class,y=hwy)) + stat_boxplot(geom = "errorbar",width=0.15)+ geom_boxplot(width=0.3)+ theme_classic() ...