对于示例数据框：
df <- structure(list(year = c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3,
3, 3, 4, 4, 4, 4, 4), imd.quintile = c(1, 2, 3, 4, 5, 1, 2, 3,
4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5), average_antibiotic = c(1.17153515458827,
1.11592565388857, 1.09288449967773, 1.07442652168281, 1.06102887394413,
1.0560582933182, 1.00678980505929, 0.992997489072538, 0.978343676071694,
0.967900478870214, 1.02854157116164, 0.98339099101476, 0.981198852494798,
0.971392872980818, 0.962289579742817, 1.00601488964457, 0.951187417739673,
0.950706064156994, 0.939174499710836, 0.934948233015044)), .Names = c("year",
"imd.quintile", "average_antibiotic"), row.names = c(NA, -20L
), vars = "year", drop = TRUE, class = c("grouped_df", "tbl_df",
"tbl", "data.frame"))
我想生成一个分组条形图，与此非常相似post.
我想要 x 轴上的年份，y 轴上的average_antibiotic。我想要五个条形图（对于每个 imd.quintile - 这是图例）。
我尝试了几个选项（基于帖子和其他地方），但无法使其工作。
ggplot(df, aes(x = imd.quintile, y = average_antibiotic)) +
geom_col() +
facet_wrap(~ year)
ggplot(df, aes(x = imd.quintile, y = average_antibiotic)) +
geom_bar(aes(fill = imd.quintile), position = "dodge", stat="identity")
有任何想法吗？
我相信您正在寻找这样的东西：
library(ggplot2)
ggplot(df ) +
geom_col(aes(x = year, y = average_antibiotic, group=imd.quintile, fill=imd.quintile), position = "dodge" )
