我有一个包含4列(年,高收益率,us_bond,us_stock)的数据框(称为“日期”),并且我想创建一个分面图以显示这三种投资中每一项的投资价值如何随年变化方法(high_yield,us_bond和us_stock)。我该怎么办?
year high_yield us_bond us_stock
1 0 1000.000 1000.000 1000.000
2 1 1220.586 1281.926 1283.605
3 2 1450.444 1520.894 1215.798
4 3 1692.547 1717.119 1745.844
5 4 1943.387 1986.865 2541.729
6 5 2208.077 2311.152 2144.041
7 6 2485.897 2462.264 2550.917
8 7 2777.211 2882.419 3264.006
9 8 3082.773 3081.522 2653.898
10 9 3392.857 3740.678 3421.683
11 10 3723.774 3916.913 3910.493
答案 0 :(得分:0)
您可以使用以下代码来完成
library(data.table)
df=data.frame(year=seq(0,10,1), high_yield=c(1000.000, 1220.586, 1450.444, 1692.547, 1943.387, 2208.077, 2485.897, 2777.211, 3082.773,3392.857,3723.774),
us_bond=c(1000.000, 1220.586, 1450.444, 1692.547, 1943.387, 2208.077, 2485.897, 2777.211, 3082.773, 3392.857, 3723.774),
us_stock=c(1000.000, 1220.586, 1450.444, 1692.547, 1943.387, 2208.077, 2485.897, 2777.211, 3082.773, 3392.857, 3723.774))
df.m = melt(df, id.vars = c("year"),
measure.vars = c("high_yield", "us_bond", "us_stock"))
library(ggplot2)
bp <- ggplot(df.m, aes(x=year, y=value, group=variable)) +
geom_line(color = "steelblue",size = 1)
bp + facet_grid( .~ variable, scales='free') +
geom_point(color="steelblue") +
labs(y = "Value of investment", x = "Year")
我对high_yield,us_bond和us_stock使用了相同的数据集。