`check_required_aesthetics()` 中的错误：！ geom_dotplot 需要以下缺失的美学：y
[英]Error in `check_required_aesthetics()`: ! geom_dotplot requires the following missing aesthetics: y
问题描述
The problem is that whilst I try to plot using geom_dotplot, I receive the error:
问题是，当我尝试使用 geom_dotplot 进行绘图时，我收到错误：
Error in `check_required_aesthetics()`:
! geom_dotplot requires the following missing aesthetics: y
The data for this problem is:这个问题的数据是：
sum.qmerge<-structure(list(absdif = c(0.01, 0.01, 0.01, 0.01, 0.01, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.01,
0, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0, 0.01, 0.01, 0.01, 0.01,
0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.01, 0.01,
0.01, 0.01, 0.01, 0, 0, 0.01, 0.01, 0.01, 0.01, 0, 0, 0, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0, 0.01, 0.02, 0.02, 0.02, 0.01,
0.01, 0.01, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.01, 0.02, 0.02,
0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.03, 0.03, 0.03, 0.02, 0.02,
0.02, 0, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0, 0, 0.01, 0, 0,
0, 0, 0, 0.01, 0.01, 0.01, 0, 0, 0, 0, 0.01, 0.01, 0.01, 0.01,
0.01, 0, 0, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0, 0.01, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.01, 0.01
), landscape = c("cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random")), row.names = c(NA,
-147L), class = c("tbl_df", "tbl", "data.frame"))
The code I am using to plot this data is:我用来绘制这些数据的代码是：
ggplot(sum.qmerge)+geom_dotplot(aes(x = landscape, y = absdif),dotsize=0.5,binwidth = 0.2)+
theme(aspect.ratio = 1)+
xlab("Landscape Type")+
ylab("Absolute Difference")
I have tried adding the aesthetic function to both ggplot() and geom_dotplot() but I keep receiving the error.我尝试将美学功能添加到 ggplot() 和 geom_dotplot() 但我一直收到错误消息。 What is the solution?解决办法是什么？ Many thanks.非常感谢。
1 个解决方案
解决方案1
1 已采纳 2022-06-23 14:59:46
You can get the dotplot by adjusting the binaxis and stackdir options:您可以通过调整dotplot和stackdir选项来获得binaxis图：
library(tidyverse)
sum.qmerge <- structure(list(absdif = c(
0.01, 0.01, 0.01, 0.01, 0.01, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.01,
0, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0, 0.01, 0.01, 0.01, 0.01,
0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.01, 0.01,
0.01, 0.01, 0.01, 0, 0, 0.01, 0.01, 0.01, 0.01, 0, 0, 0, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0, 0.01, 0.02, 0.02, 0.02, 0.01,
0.01, 0.01, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.01, 0.02, 0.02,
0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.03, 0.03, 0.03, 0.02, 0.02,
0.02, 0, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0, 0, 0.01, 0, 0,
0, 0, 0, 0.01, 0.01, 0.01, 0, 0, 0, 0, 0.01, 0.01, 0.01, 0.01,
0.01, 0, 0, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0, 0.01, 0.01,
0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.01, 0.01
), landscape = c(
"cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "cluster", "cluster", "cluster",
"cluster", "cluster", "cluster", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "regular", "regular",
"regular", "regular", "regular", "regular", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random", "random", "random",
"random", "random", "random", "random", "random"
)), row.names = c(
NA,
-147L
), class = c("tbl_df", "tbl", "data.frame"))
ggplot(sum.qmerge, aes(landscape, absdif)) +
geom_dotplot(binaxis = "y", stackdir = "center", dotsize = 0.2) +
theme(aspect.ratio = 1) +
xlab("Landscape Type") +
ylab("Absolute Difference")
#> Bin width defaults to 1/30 of the range of the data. Pick better value with `binwidth`.
Created on 2022-06-23 by the reprex package (v2.0.1)由reprex 包于 2022-06-23 创建 (v2.0.1)
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