我在R中有一个名为X的数据帧。
X
Year delta count color labels categ
<int> <dbl> <int> <chr> <chr> <chr>
1 2024 -0.246 26 red a/2024 A
2 2023 -0.243 37 red b/2023 A
3 2022 0.0490 51 red c/2022 A
4 2020 0.0603 125 red d/2020 A
5 2023 -0.219 24 darkgreen a/2023 B
6 2022 -0.185 36 darkgreen b/2022 B
7 2024 -0.118 19 darkgreen c/2024 B
8 2020 -0.0550 89 darkgreen d/2020 B
9 2024 -0.592 9 blue a/2024 C
10 2022 0.0336 14 blue b/2022 C
我想在ggplot2中使用刻面网格绘制它们,但要在y轴上按降序对每个类别的年份进行排序。从2024年到2020年。
我如何在R中实现这种排序?
YEARS <- c(2020, 2022, 2023, 2024)
X%>%
mutate(Year = factor(Year, levels = YEARS))%>%
group_by(Year)%>%
arrange(Year)%>%
ggplot(aes(x = delta, y = labels#, color = Year
)) +
geom_point(size = 3) +
facet_grid(categ ~., scales="free_y") +
scale_y_discrete(labels = \(x) str_extract(x, "(?<=/).*")) +
labs(y="") +
geom_vline(xintercept=0) +
theme_bw() +
theme(legend.position = "none", # Remove the legend
axis.text.x = element_text(angle = 0, hjust = 1), # Rotate x-axis labels
strip.text.y = element_text(size = 8, angle = 0, vjust = 0.5),
axis.text.y = element_text(size = 7),
strip.text = element_text(size = 14), # Increase facet label size
axis.title = element_text(size = 14), # Increase axis title size
axis.text = element_text(size = 10))+ # Increase axis text size
theme(strip.background = element_rect(color="black", fill=FACETBACKGROUND, size=1.5, linetype="solid"))+
labs(title = "",x = "")
导致:
数据
structure(list(Year = c(2024L, 2023L, 2022L, 2020L, 2023L, 2022L,
2024L, 2020L, 2024L, 2022L, 2023L, 2020L, 2024L, 2020L, 2022L,
2020L, 2022L, 2024L, 2023L, 2020L, 2022L, 2023L, 2024L, 2023L,
2024L, 2020L, 2022L), delta = c(-0.245846153846154, -0.242934362934363,
0.0490196078431371, 0.0603110504774897, -0.219285714285714, -0.184640522875817,
-0.118315789473684, -0.0550147922191395, -0.592, 0.0336134453781511,
0.139047619047619, 0.181280747447187, -0.0920000000000001, 0.561234127400567,
1.07647058823529, -0.159860728663615, -0.0308464849354378, 0.0329999999999999,
0.364047619047619, -0.112974017395813, -0.0897631779984723, 0.114805194805195,
0.237268292682927, -0.38, 0.208, 0.393401959568399, 0.46218487394958
), count = c(26L, 37L, 51L, 125L, 24L, 36L, 19L, 89L, 9L, 14L,
15L, 33L, 6L, 13L, 5L, 163L, 41L, 16L, 24L, 221L, 77L, 55L, 41L,
14L, 5L, 88L, 14L), color = c("red", "red", "red", "red", "darkgreen",
"darkgreen", "darkgreen", "darkgreen", "blue", "blue", "blue",
"blue", "black", "black", "black", "orange", "orange", "orange",
"orange", "purple", "purple", "purple", "purple", "#4778BB",
"#4778BB", "#4778BB", "#4778BB"), labels = c("a/2024", "b/2023",
"c/2022", "d/2020", "a/2023", "b/2022", "c/2024", "d/2020", "a/2024",
"b/2022", "c/2023", "d/2020", "a/2024", "b/2020", "c/2022", "a/2020",
"b/2022", "c/2024", "d/2023", "a/2020", "b/2022", "c/2023", "d/2024",
"a/2023", "b/2024", "c/2020", "d/2022"), categ = c("A", "A",
"A", "A", "B", "B", "B", "B", "C", "C", "C", "C", "D", "D", "D",
"E", "E", "E", "E", "F", "F", "F", "F", "G", "G", "G", "G")), row.names = c(NA,
-27L), class = c("tbl_df", "tbl", "data.frame"))
>
