ggplot一个带有矩阵变量的 Dataframe ？

kqlmhetl 于 2022-12-06 发布在其他

关注(0)|答案(3)|浏览(271)

我正在尝试使用ggplot复制此图

pacman::p_load(tidyverse, pls, remotes)
install_github("rwehrens/ChemometricsWithR")

data(gasoline)
wavelengths <- seq(900,1700, 2)
matplot(wavelengths, t(gasoline$NIR), type = "l", lty = 1, xlab = "Wavelength (nm)", ylab = "1/R")

，但似乎无法使其工作。gasoline数据集是一个棘手的数据集：两个变量中有一个是我从未遇到过的矩阵。2我该如何清理这个数据集以使其整洁？3我尝试了以下方法：

gasoline2 <- as.data.frame(as.matrix(gasoline)) %>% 
  pivot_longer(cols = -c(octane),
              names_to = "wavelength",
              values_to = "1/R")

但似乎无法执行此代码：

ggplot(gasoline, mapping = aes(x = wavelengths, y = t(gasoline$NIR)))+
  geom_line(mapping = aes(color = octane))

正在返回此错误：

Error in `geom_line()`:
! Problem while computing aesthetics.
ℹ Error occurred in the 1st layer.
Caused by error in `check_aesthetics()`:
! Aesthetics must be either length 1 or the same as the data (60)
✖ Fix the following mappings: `x` and `y`
Backtrace:
  1. base (local) `<fn>`(x)
  2. ggplot2:::print.ggplot(x)
  4. ggplot2:::ggplot_build.ggplot(x)
  5. ggplot2:::by_layer(...)
 12. ggplot2 (local) f(l = layers[[i]], d = data[[i]])
 13. l$compute_aesthetics(d, plot)
 14. ggplot2 (local) compute_aesthetics(..., self = self)
 15. ggplot2:::check_aesthetics(evaled, n)

来源：https://stackoverflow.com/questions/74632789/ggplot-a-dataframe-with-a-matrix-variable

3条答案

按热度按时间

njthzxwz1#

@user7264给出的答案是正确的，只是在添加新变量 wavelength 时有一点错误，它应该是一个数值变量，而不是一个字符。因此，考虑到这个响应和颜色问题，我建议的答案如下：

pacman::p_load(tidyverse, pls, remotes)
install_github("rwehrens/ChemometricsWithR")

gasoline2 <- as.data.frame(as.matrix(gasoline)) %>% 
  pivot_longer(cols = -c(octane),
               names_to = "wavelength",
               values_to = "1/R") %>% 
  # From the above code of @user7264, add as.numeric()
  mutate(wavelength = as.numeric(str_remove_all(wavelength, "[^[:digit:]]")))

ggplot(gasoline2, mapping = aes(x = wavelength, y = `1/R`)) +
  geom_line(mapping = aes(color = octane)) +
  scale_x_continuous(breaks = seq(1000, 2000, 200)) +
  scale_colour_continuous(type = "viridis") +
  theme_bw()

这就产生了这个图。

我希望这是有用的！😃

赞(0）回复(0）举报 2022-12-06

kt06eoxx2#

这是非常接近的。如果你关心特定的颜色，你可以使用scale_color_manual()或其他一些scale_color_*()函数。

#give every octane a unique ID for grouping later on
gasoline <- 
  gasoline |> 
  mutate(group = 1:n())

#colbind matrix-column as a dataframe
gasoline2 <- 
  bind_cols(
    gasoline |> select(octane, group),
    gasoline |> pull(NIR)
  ) |> 
  # convert colnames to numeric wavelengths
  pivot_longer(
    cols = c(-octane, -group),
    names_to = "wavelength",
    values_to = "1/R",
    names_pattern = "(\\d+)",
    names_transform = as.numeric
  ) |> 
  # octane as factor for line colors
  mutate(octane = as.factor(octane)) 

ggplot(gasoline2,
    #group aesthetic to plot separate lines for repeat values of octane
       aes(x = wavelength, y = `1/R`, color = octane, group = group)) +
  geom_line(size = .7) +
  scale_color_discrete(guide = "none") +
  theme_classic()

赞(0）回复(0）举报 2022-12-06

iyfamqjs3#

pacman::p_load(tidyverse, pls, remotes)
install_github("rwehrens/ChemometricsWithR")

gasoline2 <- as.data.frame(as.matrix(gasoline)) %>% 
  pivot_longer(cols = -c(octane),
              names_to = "wavelength",
              values_to = "1/R") %>% 
  mutate(wavelength = str_remove_all(wavelength, "[^[:digit:]]"))

ggplot(gasoline2, mapping = aes(x = wavelength, y = `1/R`))+
  geom_line(mapping = aes(color = octane))

**但是，我无法找出scale_color_gradient语法来匹配颜色

编辑：感谢前两张海报，这里是我最后的复制品！

gasoline2 <- as.data.frame(as.matrix(gasoline)) %>% 
  mutate(group = row_number()) %>%
  relocate(group, .after = octane) %>% 
  pivot_longer(cols = -c(octane, group),
              names_to = "wavelength",
              values_to = "spectra") %>% 
  mutate(wavelength = as.numeric(str_remove_all(wavelength, "[^[:digit:]]"))) %>% 
  mutate(octane = as.factor(octane))

ggplot(gasoline2, mapping = aes(x = wavelength, y = `spectra`, color = octane, group = group))+
  geom_line(linewidth = 0.5)+
  scale_color_discrete(guide = "none")+
  xlab(label = "\nWavelength (nm)")+
  ylab(label = "1/R\n")+
  theme_classic()+
  scale_y_continuous(n.breaks = 7)+
  scale_x_continuous(breaks = seq(1000,1600,200))

赞(0）回复(0）举报 2022-12-06

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ggplot一个带有矩阵变量的 Dataframe ？

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