我想要条形图及其误差条。
我的数据如下:
data <- read.table(text = "Write.Ratio Latency Systems ErrorBar
25 33.68947433 ZAc 0.584923265
50 35.95189364 ZAc 0.533620214
75 37.61611343 ZAc 0.478412112
100 38.94321815 ZAc 0.613659804
25 34.88948194 ZAa 0.668849228
50 37.50136427 ZAa 0.810768079
75 38.32180932 ZAa 0.855439587
100 40.11655606 ZAa 1.016661533
25 44.54909217 Z 2.743318523
50 45.11834046 Z 2.694675714
75 47.58457625 Z 3.848277026
100 51.54500237 Z 3.11271401
100 39.93495434 ZCt 1.042499708", header = TRUE)
绘制条形及其误差条的脚本如下:
data <- transform(data,Systems=reorder(Systems,order(Latency, decreasing=F)))
plot1 <- ggplot(data, aes(Write.Ratio, Latency, fill=Systems))
plot1 <- plot1 +geom_bar(stat = "identity",position="dodge")+
geom_errorbar(aes(ymin=Latency-ErrorBar, ymax=Latency+ErrorBar))
plot1 <- plot1+scale_y_continuous(breaks= seq(0,60,10))+labs(x = "Write Ratio")+
scale_x_continuous(breaks= seq(0,100,25))+labs(y="Latency (ms)")
plot1 <- plot1+scale_fill_manual(values=c("#2980b9", "#F5BF00", "#66CC99", "#6c3483"))
plot1 <- plot1+theme(panel.grid.major = element_blank())
plot1 <- plot1+theme_bw()+theme(legend.position="bottom")+labs(fill="")+
theme(text = element_text(size=18))
plot1
当我运行脚本时,我遇到两个问题:(1)错误条位于条形图上(它们不会完全放在条形图上)和(2)错误条看起来非常大。
有任何帮助解决这些问题吗?
答案 0 :(得分:1)
我认为他们在上面的评论中告诉你的一切都有效。见下文。
#Turn Write.Ratio into a factor
data$Write.Ratio <- as.factor(data$Write.Ratio)
data <- transform(data,Systems = reorder(Systems, order(Latency, decreasing = F)))
plot1 <- ggplot(data, aes(Write.Ratio, Latency, fill = Systems))
#Add position=position_dodge(.9) to geom_errorbar
plot1 <- plot1 + geom_bar(stat = "identity", position="dodge") +
geom_errorbar(aes(ymin=Latency-ErrorBar, ymax=Latency+ErrorBar), width = .2, position=position_dodge(.9))
plot1 <- plot1+scale_y_continuous(breaks= seq(0,60,10))+labs(x = "Write Ratio")+
scale_x_discrete(labels = seq(25,100,25))+ labs(y="Latency (ms)")
plot1 <- plot1+scale_fill_manual(values=c("#2980b9", "#F5BF00", "#66CC99", "#6c3483"))
plot1 <- plot1+theme(panel.grid.major = element_blank())
plot1 <- plot1+theme_bw()+theme(legend.position="bottom")+labs(fill="")+
theme(text = element_text(size=18))
plot1