我试图根据先前回答过的问题Making stacked bar plot with specified error bar values in R
来制作带有误差线的堆叠条形图但是,我的错误栏的位置不正确。我尝试过更改SD的顺序,这会使误差线彼此相对移动,但它们仍未与堆叠的误差线对齐。
x <- data.frame(Period = c("Mon","Tue","Wed","Thu","Fri","Sat","Sun"), Sample = c("Day","Day","Day","Day","Day","Day","Day"), "12AM-6AM" = c(23.14,16.43,16,22.71,36.86,87.14,110.71), "6AM-12PM" = c(16.14,20.86,18.43,16.71,15.14,14.29,16), "12PM-6PM" = c(26.86,23.71,25.57,23.43,35.29,38,30), "6PM-12AM" =c(35.86,34.14,31.71,36.43,45.57,44,27.14))
library(dplyr)
library(reshape2)
mx <- melt(x, id.vars=1:2)
mx <- mx %>% group_by(Period) %>%
mutate(pos = cumsum(value)) %>%
ungroup() %>%
mutate(sd = c( 5.4, 2.7, 4.7, 4.4, 8.2, 13.2, 20.7,
5.6, 2.3, 5.4, 5.5, 1.6, 4.1, 3.1,
5.2, 5.6, 5.9, 3.5, 6.3, 4.5, 6.9,
3.5, 6.0, 5.9, 6.2, 8.2, 9.0, 2.4
),
upper = pos + sd/2,
lower = pos - sd/2)
days<-c("Mon", "Tue", "Wed","Thu","Fri", "Sat", "Sun")
ggplot(mx, aes(x=Period, y=value, fill=variable), xLabels=NA) +
geom_bar(stat="identity") +
facet_grid(~Sample) + geom_errorbar(aes(ymin = lower, ymax = upper),
width = .2, col = "red") +
theme_bw() + scale_x_discrete(limits = days) +
xlab(" Day of the Week") + scale_fill_grey() +
ylab ("Number of calls")
此外,我对R还是很陌生,甚至对于堆栈溢出也比较新(这是我的第一个问题!)-因此,有关如何更清晰地设置问题格式或更有效地在站点中搜索答案的任何建议始终受到赞赏。 :)
答案 0 :(得分:2)
我认为这是因为variable
是在y轴上从上到下绘制的,但是cumsum(value)
中的总和是假设它们是从下到上绘制的。
我在求和之前对数据帧进行了重新排序,然后就可以了:
x <- data.frame(Period = c("Mon","Tue","Wed","Thu","Fri","Sat","Sun"), Sample = c("Day","Day","Day","Day","Day","Day","Day"), "12AM-6AM" = c(23.14,16.43,16,22.71,36.86,87.14,110.71), "6AM-12PM" = c(16.14,20.86,18.43,16.71,15.14,14.29,16), "12PM-6PM" = c(26.86,23.71,25.57,23.43,35.29,38,30), "6PM-12AM" =c(35.86,34.14,31.71,36.43,45.57,44,27.14))
library(tidyverse)
library(reshape2)
#>
#> Attaching package: 'reshape2'
#> The following object is masked from 'package:tidyr':
#>
#> smiths
mx <- melt(x, id.vars=1:2)
mx <- mx %>%
mutate(sd = c( 5.4, 2.7, 4.7, 4.4, 8.2, 13.2, 20.7,
5.6, 2.3, 5.4, 5.5, 1.6, 4.1, 3.1,
5.2, 5.6, 5.9, 3.5, 6.3, 4.5, 6.9,
3.5, 6.0, 5.9, 6.2, 8.2, 9.0, 2.4)
) %>%
group_by(Period) %>%
arrange(desc(variable)) %>%
mutate(
pos = cumsum(value),
upper = pos + sd/2,
lower = pos - sd/2
) %>%
ungroup()
days<-c("Mon", "Tue", "Wed","Thu","Fri", "Sat", "Sun")
ggplot(mx, aes(x=Period, y=value, fill=variable), xLabels=NA) +
geom_bar(stat="identity") +
facet_grid(~Sample) + geom_errorbar(aes(ymin = lower, ymax = upper),
width = .2, col = "red") +
theme_bw() + scale_x_discrete(limits = days) +
xlab(" Day of the Week") + scale_fill_grey() +
ylab ("Number of calls")
由reprex package(v0.2.1)于2018-11-10创建