如何解决使用每个变量的最大值创建ggplot2图的R函数是什么？
我可以在R中写些什么来创建线形图可视化（使用ggplot2）来表示每天的总病例数（本质上是每天标出星号的点）？
city | date | cases | cumulative cases (by date)
----------|-------|--------|------------------------
London | Day 1 | 4 | 4
Paris | Day 1 | 5 | 9
Madrid | Day 1 | 3 | 12 *
London | Day 2 | 6 | 6
Paris | Day 2 | 3 | 9
Madrid | Day 2 | 8 | 17 *
London | Day 3 | 9 | 9
Paris | Day 3 | 7 | 16
Madrid | Day 3 | 5 | 21 *
解决方法
尝试按Sub Test()
Dim htmlTable As Object
Dim collTD As Object
Dim oNode As Object
Dim IE As Object
Dim RowCount As Long
Dim currentColumn As Long
RowCount = 1
currentColumn = 1
Set IE = CreateObject("InternetExplorer.application")
With IE
.Visible = True
.navigate "https://ukonlinestores.co.uk/amazon-uk-sellers/"
' Wait for the page to fully load; you can't do anything if the page is not fully loaded
Do While .readyState <> 4: DoEvents: Loop
Application.Wait (Now + TimeSerial(0,2))
Set htmlTable = .document.getElementById("table_1")
Set collTD = htmlTable.getElementsByTagName("td")
For Each oNode In collTD
If currentColumn Mod 11 = 0 Then
RowCount = RowCount + 1
currentColumn = 1
End If
Cells(RowCount,currentColumn) = oNode.innertext
currentColumn = currentColumn + 1
Next oNode
End With
End Sub
分组的这种方法以获得最大值，然后绘制。下面是使用date函数的代码：
tidyverse输出：
或添加限制：
library(dplyr)
library(ggplot2)
#Code
df %>% group_by(date) %>%
filter(`cumulative cases`==max(`cumulative cases`,na.rm=T)) %>%
ggplot(aes(x=date,y=`cumulative cases`,group=1))+
geom_point(color='purple')+geom_line(color='purple')
输出：
使用了一些数据：
#Code 2
df %>% group_by(date) %>%
filter(`cumulative cases`==max(`cumulative cases`,group=1))+
geom_point(color='purple')+geom_line(color='purple')+
scale_y_continuous(limits = c(0,21))
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。
