错误条在堆叠条形图中的位置不正确 (r)
Error bars incorrectly positioned in a stacked bar graph (r)
我试图根据之前回答的问题
制作带有误差线的堆叠条形图
但是,我的错误栏位置不正确。我试过更改 SD 的顺序,这会使误差条相对移动,但它们仍然没有与堆叠条对齐。
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")
另外,我是 R 的新手,对堆栈溢出更是新手(这是我的第一个问题!)- 所以关于如何更清楚或更有效地格式化问题的任何建议都可以在网站上搜索答案,一直很感激:)
我认为发生这种情况是因为 variable
在 y 轴上从上到下绘制,但是 cumsum(value)
中的总和是假设它们是从下到上绘制的。
我在求和之前重新排序了数据框然后它起作用了:
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)
创建于 2018-11-10
我试图根据之前回答的问题
但是,我的错误栏位置不正确。我试过更改 SD 的顺序,这会使误差条相对移动,但它们仍然没有与堆叠条对齐。
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")
另外,我是 R 的新手,对堆栈溢出更是新手(这是我的第一个问题!)- 所以关于如何更清楚或更有效地格式化问题的任何建议都可以在网站上搜索答案,一直很感激:)
我认为发生这种情况是因为 variable
在 y 轴上从上到下绘制,但是 cumsum(value)
中的总和是假设它们是从下到上绘制的。
我在求和之前重新排序了数据框然后它起作用了:
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)
创建于 2018-11-10