我对R中的工作感到困惑。我想在条形图上显示具有组变量的误差条。这是数据(文件名s4.csv)。我使用以下代码:
a<- read.csv(file= "s4.csv")
error<- a$Zn_STD
ggplot(a, aes(Variety, Zn))+labs(title="Zinc in flesh and pits of dates") + geom_bar(stat="identity", group= "Variety", fill='steelblue') +
facet_wrap(~ Part)+theme(panel.background = element_rect (fill = "White"))+
ggplot(geom_errorbar(aes(ymin=a$Zn, ymax=a$Zn+error, width = 0.2), position=position_dodge(width=0.8)))
# Here is my Data
# This data contain 3 varieties designated as V and 2 parts (designated as Flesh and Pits) Standard deviation is mentioned as Zn_STD.
Variety Part Zn Zn_STD
V 1 Flesh 0.313333333 0.087
V 2 Flesh 1.113333333 0.43
V 3 Flesh 1.38 0.34
V 1 Pits 1.913333333 0.87
V 2 Pits 1.113333333 0.38
V 3 Pits 1.202222222 0.28
答案 0 :(得分:1)
除了计数数据外,请不要使用条形图(例如参见this citation)。每次你这样做,统计学家都会跳下一座高大的桥梁。改用点。 ggplot2
为此提供了一个很好的geom。以下示例取自ggplot2 documentation page。
df <- data.frame(
trt = factor(c(1, 1, 2, 2)),
resp = c(1, 5, 3, 4),
group = factor(c(1, 2, 1, 2)),
upper = c(1.1, 5.3, 3.3, 4.2),
lower = c(0.8, 4.6, 2.4, 3.6)
)
library(ggplot2)
ggplot(df, aes(trt, resp, colour = group)) +
geom_pointrange(aes(ymin = lower, ymax = upper))