我有一个数据集,其中包含两个不同年份的值,但是在绘制数据时,我无法将其设置为两个离散的类别,而不是连续的日期范围。
如果尝试使用scale_x_discrete
,年份标签将完全消失。
library(ggplot2)
ggplot(df2018, aes(x = Year, y= Weight, fill = Year)) +
geom_bar(stat = "identity") +
coord_flip() +
facet_wrap(~ Species, scale = "free_x") +
scale_x_discrete("Year", labels = c("2018", "2019"))
如何转换Year列,以便ggplot将其读为两个不同的类别(即2018和2019年)?
数据:
structure(list(Species = structure(c(1L, 2L, 3L, 4L, 5L, 6L,
2L, 3L, 1L, 4L, 5L, 6L), .Label = c("Coralline", "Pocockiella",
"Gigartina", "Ulva", "Colpomenia", "Sargassum"), class = "factor"),
Year = c(2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019,
2019, 2019, 2019, 2019), Weight = c(0.83879, 1.61504, 2.32838,
6.25983, 8.77286, 115.48649, 0.046695, 0.1373982, 0.392931,
0.508436, 0.521956, 90.098115), Percent = c(0.614156130776106,
1.18252091399354, 1.70482343825805, 4.58340344080901, 6.42342630865946,
84.5583946581545, 0.0508869004261174, 0.149732702047923,
0.428205175529173, 0.554079282686656, 0.568812999225068,
98.186396971536)), row.names = c(NA, -12L), class = c("tbl_df",
"tbl", "data.frame"))