`geom_density_ridges()` 需要以下缺失的美学：y（分组函数无响应）

问题描述 投票：0回答：1

我有当前的数据集结构：

head(subset)

batch antigen expression_value dataset
1     5    CD57        1.7917310  before
2     5    CD57        1.2932388  before
3     5    CD57        0.3179733  before
4     5    CD57        0.3761151  before
5     5    CD57        0.6780204  before
6     5    CD57        0.6050466  before

其中

batch 可以是 1-7 之间的数字（factor w/ 7 levels） 抗原可以是 13 种标志物中的一种（例如 CD4、Cd8）（具有 13 种水平的因子） expression_value 是一个数字（有些是负数） datset 可以在之前或之后（带 2 个级别的因子）

如果我运行这段代码，我会得到以下图片：

ggplot(subset,
aes(x = expression_value,
y = antigen))+
geom_density_ridges(alpha = 0.5)

enter image description here

现在，整个 datsaet 都有一个密度图，但我想将每个单独的图更改为每批次的密度图（所以我想有 7 个重叠的密度图，但仍然只有 13 行。因为我想比较密度批次之间。 我试过这段代码：

ggplot(subset,
aes(x = expression_value,
y = antigen,
group = batch))+
geom_density_ridges(alpha = 0.5)

然而，这是错误和输出：

Picking joint bandwidth of 0.0423
Error in `geom_density_ridges()`:
! Problem while setting up geom.
ℹ Error occurred in the 1st layer.
Caused by error in `compute_geom_1()`:
! `geom_density_ridges()` requires the following missing aesthetics: y
Run `rlang::last_error()` to see where the error occurred.
Warning message:
The following aesthetics were dropped during statistical transformation: y
ℹ This can happen when ggplot fails to infer the correct grouping structure in the data.
ℹ Did you forget to specify a `group` aesthetic or to convert a numerical variable into a
factor?

rlang::last_error()
\<error/rlang_error\>
Error in `geom_density_ridges()`:
! Problem while setting up geom.
ℹ Error occurred in the 1st layer.
Caused by error in `compute_geom_1()`:
! `geom_density_ridges()` requires the following missing aesthetics: y
-

Backtrace:

1. base (local) `<fn>`(x)
2. ggplot2:::print.ggplot(x)
3. ggplot2:::ggplot_build.ggplot(x)
4. ggplot2:::by_layer(...)
5. ggplot2 (local) f(l = layers\[\[i\]\], d = data\[\[i\]\])
6. l$compute_geom_1(d)
7. ggplot2 (local) compute_geom_1(..., self = self)

我试图改变一切，从因素到性格，然后再改变，但我就是想不通我做错了什么。别人看到了吗？

最后，我想要一个图，其中所有标记都在 y 轴上，表达式值在 x 轴上，然后每个标记的前/后相互下方。所以我可以比较前后的所有批次。

让我知道！

session_info()
─ Session info ────────────────────────────────────────────────────────────────────────────
setting  value
version  R version 4.2.3 (2023-03-15)
os       Red Hat Enterprise Linux 8.7 (Ootpa)
system   x86_64, linux-gnu
ui       RStudio
language (EN)
collate  en_US.UTF-8
ctype    en_US.UTF-8
tz       Europe/Amsterdam
date     2023-04-25
rstudio  2022.07.2+576 Spotted Wakerobin (server)
pandoc   2.18 @ /usr/lib/rstudio-server/bin/pandoc/ (via rmarkdown)

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vipor                    0.4.5     2017-03-22 \[1\] CRAN (R 4.2.1)
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viridisLite              0.4.1     2022-08-22 \[1\] CRAN (R 4.2.1)
withr                    2.5.0     2022-03-03 \[1\] CRAN (R 4.2.2)
xfun                     0.36      2022-12-21 \[1\] CRAN (R 4.2.2)
xlsx                   \* 0.6.5     2020-11-10 \[1\] CRAN (R 4.2.2)
xlsxjars                 0.6.1     2014-08-22 \[1\] CRAN (R 4.2.1)
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zoo                      1.8-11    2022-09-17 \[1\] CRAN (R 4.2.1)
r ggplot2 aes group
1个回答
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错误消息表明

geom_density_ridges()
函数需要定义
y
美学，目前您的代码中没有定义。这是因为 
y
美学被用于按批次对数据进行分组，但是还需要 y 美学来绘制密度脊。

试试这个：

    ggplot(subset,
       aes(x = expression_value,
           y = antigen,
           fill = batch))+
  geom_density_ridges(alpha = 0.5)+
  facet_wrap(~batch, ncol = 1)

我们正在使用 

fill
美学按 
batch
对密度图进行分组，并且我们正在使用 
facet_wrap()
函数为每个 
batch
创建单独的图。 
ncol = 1
参数指定每个图应该有一列。

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