向R中的图添加不同曲线

Question

我知道我可以使用layer和lattice R包（请参见打击）将[[相同曲线作为latticeExtra添加到每个绘图窗格中。

但是假设我们要向每个绘图窗格添加

不同曲线。

例如，在下面的示例中，我想知道如何仅将v1添加到

顶部图

，将v2添加到左下图，以及将v3添加到右下]情节？

library(lattice)
library(latticeExtra)    

set.seed(24)
v1 <- density(rnorm(1e3, 3.5))
v2 <- density(rnorm(1e3, 3))
v3 <- density(rnorm(1e3, 2.75))


foo <- xyplot((1:32*.01)~wt|gear , data = mtcars)
foo + layer(panel.polygon(v1, col = 2, alpha = 0.3))

Answer 1

这里是一个选项

foo + 
   layer(if(panel.number() == 3) {
            panel.polygon(v1, col = 2, alpha = 0.3)
      } else if(panel.number() == 1) {
            panel.polygon(v2, col = 2, alpha = 0.3)
      } else{
           panel.polygon(v3, col = 2, alpha = 0.3)
    })

数据
library(lattice)
library(latticeExtra)    

set.seed(24)
v1 <- density(rnorm(1e3, 3.5))
v2 <- density(rnorm(1e3, 3))
v3 <- density(rnorm(1e3, 2.75))


foo <- xyplot((1:32*.01)~wt|gear , data = mtcars)

Answer 2

您可以使用ggplot2和facet_grid：

library(ggplot2)
library(dplyr)

# user data
v1 <- (rnorm(1e3, 3.5))
v2 <- (rnorm(1e3, 3))
v3 <- (rnorm(1e3, 2.75))

# Make df1 from user data and associate with add gear value in `mtcars`
df1 <- data.frame(wt = c(v1, v2, v3),
                gear = as.factor(c(rep(3, 1000),
                        rep(4, 1000), 
                        rep(5, 1000))))

# select data from mtcars and add user defined values (`val`)
df2 <- mtcars %>% 
  mutate(val = 1:32 * 0.01) %>% 
  remove_rownames() %>% 
  mutate(gear = as.factor(gear)) %>% 
  select(c(val, gear, wt))


ggplot(df2, aes(x = wt, y = val,  #set up mapping with df2
                fill = gear)) + 
  geom_density(data = df1,  #make density plots of df1
      aes(x = wt, 
          fill = gear),
      inherit.aes = FALSE) + #next add points from df1
  geom_point(data = df2, aes(x = wt, y = val), inherit.aes = FALSE) +
  facet_grid(cols = vars(gear)) 

您可以通过向geom_density添加alpha值来使填充颜色更加透明。