R如何绘制多个图形（时间序列）

Question

我有一个数据框df：

ID      Final_score appScore pred_conf pred_chall obs1_conf obs1_chall obs2_conf obs2_chall exp1_conf exp1_chall
3079341 4           low      6         1          4         3           4        4          6         2 
3108080 8           high     6         1          6         1           6        1          6         2 
3130832 9           high     2         6          3         4           5        4          6         2 
3148118 10          high     4         4          4         4           5        4          6         2 
3148914 10          high     2         2          2         5           2        5          6         2 
3149040 2           low      5         4          6         4           6        4          6         4 

Q1：对于high和low功能，我想为appScore _conf和_chall有两个叠加图。我想用不同的颜色显示这些图。我该如何实现？

Q2：是否可以绘制两个平滑图，一个针对所有_conf变量/特征，另一个针对所有_chall特征。请注意，我的列没有时间变量，而是按以下顺序排序：

pred_conf  --> obs1_conf  --> obs2_conf  --> exp1_conf
pred_chall --> obs1_chall --> obs2_chall --> exp1_chall

这只是一个玩具示例，实际数据有几行多列。供参考，我在下面共享dput（）：

dput(df)
structure(list(ID = c(3079341L, 3108080L, 3130832L, 3148118L, 3148914L, 3149040L), 
Final_score = c(4L, 8L, 9L, 10L, 10L, 2L), 
appScore = structure(c(2L, 1L, 1L, 1L, 1L, 2L), .Label = c("high", "low"), class = "factor"), 
pred_conf = c(6L, 6L, 2L, 4L, 2L, 5L), 
pred_chall = c(1L, 1L, 6L, 4L, 2L, 4L), 
obs1_conf = c(4L, 6L, 3L, 4L, 2L, 6L), 
obs1_chall = c(3L, 1L, 4L, 4L, 5L, 4L), 
obs2_conf = c(4L, 6L, 5L, 5L, 2L, 6L), 
obs2_chall = c(4L, 1L, 4L, 4L, 5L, 4L), 
exp1_conf = c(6L, 6L, 6L, 6L, 6L, 6L), 
exp1_chall = c(2L, 2L, 2L, 2L, 2L, 4L)), 
class = "data.frame", row.names = c(NA, -6L))

以下文章很有帮助，但它们考虑了时间变量。我应该如何使用某种时间变量来更改任务名称？

Plotting multiple time-series in ggplot

Multiple time series in one plot

更新1：

当为_conf和high appScore组的low绘制时，我的图形当前看起来像这样。我想平滑并覆盖这些图形，以查看是否存在任何差异或模式。

这是我使用的代码

library(ggplot2)
df_long %>% 
  filter(part == "conf") %>% 
  ggplot(aes(feature, val, group = appScore)) +
  geom_line() +
  geom_point() +
  facet_wrap(~appScore, ncol = 1) +
  ggtitle("conf")

更新2：

使用脚本：

test_long %>% 
  ggplot(aes(feature, val, color = appScore, group = appScore)) + #, size = Final_score)) +
  geom_smooth() +
  facet_wrap(~part, nrow = 1) +
  ggtitle("conf and chall")

我已经能够生成所需的图形：

Answer 1

首先，我将数据转换为长格式。

library(tidyr)
library(dplyr)

df_long <- 
  df %>% 
  pivot_longer(
    cols = matches("(conf|chall)$"),
    names_to = "var",
    values_to = "val"
  )

df_long

#> # A tibble: 48 x 5
#>         ID Final_score appScore var          val
#>      <int>       <int> <fct>    <chr>      <int>
#>  1 3079341           4 low      pred_conf      6
#>  2 3079341           4 low      pred_chall     1
#>  3 3079341           4 low      obs1_conf      4
#>  4 3079341           4 low      obs1_chall     3
#>  5 3079341           4 low      obs2_conf      4
#>  6 3079341           4 low      obs2_chall     4
#>  7 3079341           4 low      exp1_conf      6
#>  8 3079341           4 low      exp1_chall     2
#>  9 3108080           8 high     pred_conf      6
#> 10 3108080           8 high     pred_chall     1
#> # … with 38 more rows

df_long <-
  df_long %>% 
  separate(var, into = c("feature", "part"), sep = "_") %>% 
  # to ensure the right order
  mutate(feature = factor(feature, levels = c("pred", "obs1", "obs2", "exp1"))) %>% 
  mutate(ID = factor(ID))

df_long
#> # A tibble: 48 x 6
#>    ID      Final_score appScore feature part    val
#>    <fct>         <int> <fct>    <fct>   <chr> <int>
#>  1 3079341           4 low      pred    conf      6
#>  2 3079341           4 low      pred    chall     1
#>  3 3079341           4 low      obs1    conf      4
#>  4 3079341           4 low      obs1    chall     3
#>  5 3079341           4 low      obs2    conf      4
#>  6 3079341           4 low      obs2    chall     4
#>  7 3079341           4 low      exp1    conf      6
#>  8 3079341           4 low      exp1    chall     2
#>  9 3108080           8 high     pred    conf      6
#> 10 3108080           8 high     pred    chall     1
#> # … with 38 more rows

现在绘制很容易。例如，要绘制"conf"特征：
library(ggplot2)
df_long %>% 
  filter(part == "conf") %>% 
  ggplot(aes(feature, val, group = ID, color = ID)) +
  geom_line() +
  geom_point() +
  facet_wrap(~appScore, ncol = 1) +
  ggtitle("conf")