如何向 ggplot2 条形图中的标签添加水平闪避?

How to add horizontal dodge to labels in a ggplot2 bar chart?

我正在尝试将标签添加到一个相当简单的条形图(即 geom_bar)。 geom_text() 内的 position_dodge() 更正标签的垂直间距,但不是水平间距。我怎样才能 ggplot2 将我的标签正确地分散在条形图上方?

library(tidyr)
library(grid)
library(ggplot2)

data = read.table('temp.dat', header=T)

data <- gather(data, SOA, RT, X0:X1000)

data$ResponseCondition = as.factor(data$ResponseCondition)
levels(data$SOA) = c(0,250,500,1000)
data$SOA = as.numeric(as.character(data$SOA))

p = ggplot(data, aes(y=RT, x=SOA, fill=ResponseCondition, ymax=RT*1.05))
p = p + geom_bar(stat='identity', position=position_dodge())
p = p + geom_text(aes(label=RT), position=position_dodge())

p = p + scale_x_continuous(breaks=c(0,250,500,1000))

p = p + ylab('Response Time (ms)')
p = p + xlab('Precue Interval (ms)')
p = p + theme_bw()
p = p + scale_fill_grey(start = 0.1, end = .9, name='Response condition')

p = p + theme(
    axis.title.x = element_text(vjust=-0.30, size=10),
    axis.title.y = element_text(vjust=1.50, size=10),
    text = element_text(size=10),
    legend.justification=c(1,1), legend.position=c(1,1),
    plot.margin = unit(rep(.5, 4), 'cm'))

ggsave('temp.png', width=10, height=7.5)

这是条形图:

这里是 temp.dat 的内容,需要使其成为一个完整的示例:

ResponseCondition 0    250  500  1000
               28 1254 1056  901  864
               46 1306 1063  889  772
               64 1171  939  786  682
               82 1205  948  821  731

我认为,它们没有被正确分散的主要原因是 SOA 不是一个因子变量,你应该保留它一个因子。此外,如果您跳过 scale_x_continuous,您的代码应该可以工作。这就是我做的一些小改动。您可以按照自己喜欢的方式调整垂直距离 (vjust) 和颜色:

library(tidyr)
library(grid)
library(ggplot2)

data = read.table('temp.dat', header=T)
data <- gather(data, SOA, RT, X0:X1000)
data$ResponseCondition = as.factor(data$ResponseCondition)
levels(data$SOA) = c(0,250,500,1000)
# data$SOA = as.numeric(as.character(data$SOA))

p = ggplot(data, aes(y=RT, x=SOA, fill=ResponseCondition, ymax=RT*1.05))
p = p + geom_bar(stat='identity', position=position_dodge())
p = p + geom_text(aes(label=RT), colour="purple", vjust=1.5, position=position_dodge(0.9), size=4)

# p = p + scale_x_continuous(breaks=c(0,250,500,1000))

p = p + ylab('Response Time (ms)')
p = p + xlab('Precue Interval (ms)')
p = p + theme_bw()
p = p + scale_fill_grey(start = 0.1, end = .9, name='Response condition')

p = p + theme(
    axis.title.x = element_text(vjust=-0.30, size=10),
    axis.title.y = element_text(vjust=1.50, size=10),
    text = element_text(size=10),
    legend.justification=c(1,1), legend.position=c(1,1),
    plot.margin = unit(rep(.5, 4), 'cm'))

ggsave('temp.png', width=10, height=7.5)