问题
我试图标记图表的左侧，同时忽略右侧的注释。
数据
这是我的库和数据:
#### Libraries ####
library(tidyverse)
library(ggpubr)
library(plotly)
#### Dput ####
emlit <- structure(list(X = 1:20, Ethnicity = c("Asian (other than Chinese)",
"Filipino", "Indonesian", "Thai", "Japanese", "Korean", "South Asian",
"Indian", "Nepalese", "Pakistani", "Other South Asian", "Other Asian",
"White", "Mixed", "With Chinese parent", "Other mixed", "Others",
"All ethnic minorities", "All ethnic minorities, excluding\n foreign domestic helpers",
"Whole population"), Age_5.14 = c(65.8, 72.2, 69.4, 83.1, 26.6,
52.4, 67.4, 60.4, 69.5, 71.5, 92.5, 92, 34.8, 76.6, 84.2, 45.3,
51.3, 64.3, 64.3, 94.8), Age_15.24 = c(28.1, 29.2, 4.4, 72.9,
34.8, 50.3, 38.7, 41.4, 22.2, 54.3, 41.9, 64.7, 24.4, 82.9, 90.7,
37.4, 53.2, 40.6, 52.9, 96.9), Age_25.34 = c(4.5, 1.8, 4.6, 20,
17.2, 26.8, 6.6, 4.2, 6.4, 11.9, 12, 33.9, 15, 60.5, 82, 6.7,
11.2, 7.8, 21.8, 84.9), Age_35.44 = c(6.3, 2, 6.1, 35.7, 36.5,
25.5, 9.4, 6.2, 10.5, 10.1, 22.4, 35.7, 8.6, 63, 83.2, 4.5, 12.2,
9.5, 23.4, 84.6), Age_45.54 = c(8.1, 2.3, 8, 23.2, 43.4, 59.6,
7.5, 6.3, 3.9, 13.5, 28.3, 47.5, 13.1, 72.1, 84, 4.4, 22.4, 14.2,
27.7, 92.5), Age_55.64 = c(15.9, 4.4, 44, 27, 41.7, 52.8, 11.8,
7.4, 9.5, 2, 54.2, 39.6, 12.7, 75.3, 80.1, 2.6, 20.6, 25, 32.4,
94.8), Age_65. = c(31.1, 11.9, 82.6, 39, 46.4, 57, 9.5, 3.9,
NA, 11.4, 66.5, 74.5, 14.5, 80.5, 81, 57.5, 13.6, 42.7, 44, 82.3
), Age_Overall = c(10.1, 3.5, 6.4, 31.4, 35.1, 39.8, 20.4, 15.3,
16.4, 33.8, 30.4, 46.3, 15.4, 72.7, 83.9, 19.4, 19.8, 16.9, 35.2,
89.4)), class = "data.frame", row.names = c(NA, -20L))
我还旋转了图表的数据:
#### Pivot Data ####
emlitpivot <- emlit %>%
pivot_longer(cols = contains("Age"),
names_to = "Age_Range",
values_to = "Percent")
绘图
这是我到目前为止的情节，一个按年龄分割读写能力的多面图表，并在左侧的一些重要点上做了一些注释:
#### EM vs all ####
# Order
order <- c("5-14", "15-24", "25-34", "35-44", "45-54", "55-64", "65+", "Overall",
"5-14", "15-24", "25-34", "35-44", "45-54", "55-64", "65+", "Overall")
# Plot
plot <- emlitpivot %>%
filter(Ethnicity %in% c("All ethnic minorities",
"Whole population")) %>%
ggbarplot(x="Age_Range",
y="Percent",
fill = "Ethnicity",
label = T,
palette = "jco",
facet.by = "Ethnicity",
title = "EM x Native Chinese Literacy by Age",
xlab = "Age Range",
ylab = "Literacy in Chinese (By Percent)",
caption = "*Data obtained from Census and Statistics Department Hong Kong SAR, 2016.")+
theme_cleveland()+
theme(axis.text.x = element_text(angle = 45,
hjust = .5,
vjust = .5),
legend.position = "none",
plot.caption = element_text(face = "italic"))+
scale_x_discrete(labels=order)+
geom_segment(aes(x = 3, y = 15, xend = 3, yend = 48))+
geom_segment(aes(x = 1, y = 71, xend = 1, yend = 80))+
geom_segment(aes(x = 7, y = 50, xend = 7, yend = 65))+
annotate("text",
x=4,
y=53,
label = "Post-college workers can't read.")+
annotate("text",
x=3.5,
y=85,
label = "School age supports seem to boost initial literacy.")+
annotate("text",
x=6,
y=70,
label = "Increase due to generational literacy?")
# Print plot:
plot
但是，您大概可以猜到问题是什么:
如何去掉右侧的注释？我不确定是否有一种简单的方法可以消除它们，但仅在左侧显示文本会很有帮助。
最佳答案
在本例中，我将使用 geom_text 而不是 annotate，因为它允许您拥有数据的子集。
library(tidyverse)
library(ggpubr)
emlitpivot %>%
filter(Ethnicity %in% c(
"All ethnic minorities",
"Whole population"
)) %>%
ggbarplot(
x = "Age_Range",
y = "Percent",
fill = "Ethnicity",
label = T,
palette = "jco",
facet.by = "Ethnicity",
title = "EM x Native Chinese Literacy by Age",
xlab = "Age Range",
ylab = "Literacy in Chinese (By Percent)",
caption = "*Data obtained from Census and Statistics Department Hong Kong SAR, 2016."
) +
theme_cleveland() +
theme(
axis.text.x = element_text(
angle = 45,
hjust = .5,
vjust = .5
),
legend.position = "none",
plot.caption = element_text(face = "italic")
) +
scale_x_discrete(labels = order) +
geom_segment(data = subset(emlitpivot, Ethnicity == "All ethnic minorities"), aes(x = 3, y = 15, xend = 3, yend = 48)) +
geom_segment(data = subset(emlitpivot, Ethnicity == "All ethnic minorities"), aes(x = 1, y = 71, xend = 1, yend = 80)) +
geom_segment(data = subset(emlitpivot, Ethnicity == "All ethnic minorities"), aes(x = 7, y = 50, xend = 7, yend = 65)) +
geom_text(data = subset(emlitpivot, Ethnicity == "All ethnic minorities"), aes(4, 53), label = "Post-college workers can't read.", check_overlap = T) +
geom_text(data = subset(emlitpivot, Ethnicity == "All ethnic minorities"), aes(3.5, 85), label = "School age supports seem to boost initial literacy.", check_overlap = T) +
geom_text(data = subset(emlitpivot, Ethnicity == "All ethnic minorities"), aes(6, 70), label = "Increase due to generational literacy?", check_overlap = T)
关于r - 如何摆脱多面图上的注释？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/71367904/