在ggplot中绘制多变量的趋势线和方程

Question

我正在尝试使用 ggplot geom_smooth() 为三个变量 (SA、SA1、SA2) 绘制趋势线和 R 方方程。在绘制三个变量时，我只得到一条趋势线。这种情节的原因和解决方案可能是什么？ DATA LINK（3 条趋势线 + 3 个带 R^2 的方程）

library(ggplot2)
test <- read.xlsx2("filepath/test.xlsx", 1, header=TRUE)
> test
   year           SA          SA1         SA2
1  2008 1.409155e+15 3.632740e+17 4.06998e+15
2  2009 1.533598e+15 3.767342e+17 4.05015e+15
..
..
10 2017 1.761596e+15 3.581407e+17 3.03403e+15
11 2018 1.677707e+15 3.428239e+17 3.15862e+15
dput(test)
structure(list(year = structure(1:11, .Label = c("2008", "2009", 
"2010", "2011", "2012", "2013", "2014", "2015", "2016", "2017", 
"2018"), class = "factor"), SA = c(1409155313839800, 1533598052716370, 
1524727969175020, 1583941250825040, 1597021832828680, 1549362217661020, 
1607700438214130, 1592107298305410, 1735331260744350, 1761596167580970, 
1677707298223350), SA1 = c(363273957183114432, 376734225895083200, 
355896023882281984, 368398075167704192, 367791249493954048, 360257619620708800, 
360061958768956736, 367763926166363648, 355088403981918272, 358140732212706304, 
342823915606135936), SA2 = c(4.06998e+15, 4.05015e+15, 3.94057e+15, 
3.9507e+15, 3.58963e+15, 3.53037e+15, 3.43302e+15, 3.20139e+15, 
3.94638e+15, 3.03403e+15, 3.15862e+15)), row.names = c(NA, -11L
), class = "data.frame")
test$SA=as.numeric(levels(test$SA))[test$SA]
test$SA1=as.numeric(levels(test$SA1))[test$SA1]
test$SA2=as.numeric(levels(test$SA2))[test$SA2]
ggplot(test,aes(x=year, y=  SA, group = 1)) + geom_line(mapping = aes(x = test$year, y = test$SA)) +
  geom_line(mapping = aes(x = test$year,y = test$SA2), color = "red")+ geom_line(mapping = aes(x = test$year, y = test$SA1/100), + geom_smooth(method = "lm")
      size = 1, color = "blue")+ scale_y_continuous(name = " Primary axis", sec.axis = sec_axis(~.*100, name = "Secondary axis"))

我也尝试过重塑数据，然后绘制 3 个变量的趋势线，但次轴被破坏了。

df <- reshape2::melt(test, id.var = "year")
df
   year variable        value
1  2008       SA 1.409155e+15
2  2009       SA 1.533598e+15
3  2010       SA1 1.524728e+15
4  2011       SA1 1.583941e+15
..
..
5  2017       SA2 1.597022e+15
6  2018       SA2 1.549362e+15

ggplot(df,aes(x=year, y=  value, group = variable)) + geom_line()+ scale_y_continuous(name = "y axis", sec.axis = sec_axis(~.*100, name = "y axis"))+ geom_smooth(method = "lm")

使用@Rui Barradas 提供的代码 - 恢复 Monic：我得到以下图

library(dplyr)
library(tidyr)
library(ggplot2)

test %>%
  mutate(SA1 = SA1/100) %>%
  gather(sa, value, -year) %>%
  ggplot(aes(x = year, y = value, group = sa, colour = sa)) +
  geom_line() +
  geom_smooth(method = "lm", formula = y ~ x) +
  scale_color_manual(values = c("black", "red", "blue")) +
  scale_y_continuous(name = " Primary axis", sec.axis = sec_axis(~.*100, name = "Secondary axis"))

Answer 1

这类问题一般是数据重新格式化的问题。参见 reshaping data.frame from wide to long format。
使用已发布的数据，无需将列 SA、SA1 和 SA2 强制转换为数字，它们未作为因子发布。

library(dplyr)
library(tidyr)
library(ggplot2)

test %>%
  mutate(SA1 = SA1/100) %>%
  gather(sa, value, -year) %>%
  ggplot(aes(x = year, y = value, group = sa, colour = sa)) +
  geom_line() +
  geom_smooth(method = "lm", formula = y ~ x) +
  scale_color_manual(values = c("black", "red", "blue")) +
  scale_y_continuous(name = " Primary axis", sec.axis = sec_axis(~.*100, name = "Secondary axis"))

在ggplot中绘制多变量的趋势线和方程

Plot trend lines and equation for multiple variable in ggplot

r

time-series

ggplot2

trend