在 Rmarkdown 中使用 Shiny 创建反应式 selectInput - flexdashboard
Create reactive selectInput - flexdashboard with Shiny in Rmarkdown
我是第一次使用 shiney。我想创建一个反应式小部件,其中包含我研究中感兴趣的城市的名称。选择城市时,渲染图必须改变。
这是我导入的 csv:
```{r}
Data20 = read_delim("SAC55.csv", delim = ",")
tail(Data20)
```
`DIAS ` `SANTOAMARO ` ` CACHOEIRA ` `CDA ` `SAUBARA ` SFC
<date> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2020-08-10 690 333 466 47 668
2 2020-08-11 695 335 470 47 676
3 2020-08-12 717 350 483 48 687
4 2020-08-13 719 356 500 48 701
5 2020-08-14 736 370 507 49 708
6 2020-08-15 763 377 527 49 713
```{r}
colnames(Data20) <- gsub(" ","",colnames(Data20))
```
DIAS SANTOAMARO CACHOEIRA CDA SAUBARA SFC
<date> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2020-08-10 690 333 466 47 668
2 2020-08-11 695 335 470 47 676
3 2020-08-12 717 350 483 48 687
4 2020-08-13 719 356 500 48 701
5 2020-08-14 736 370 507 49 708
6 2020-08-15 763 377 527 49 713
这就是我尝试创建反应式 selectImput
的方式
Data20 = read_delim("SAC55.csv", delim = ",")
colnames(Data20) <- gsub(" ","",colnames(Data20))
Data20$DIAS = as.Date(Data20$DIAS)
```{r}
ui = shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
selectInput(inputId = "Cidades",
label = "Cidades",
choices = c("Santo Amaro" = "SANTOAMARO", "Cachoeira" = "CACHOEIRA", "Cruz das Almas" = "CDA", "Saubara" = "SAUBARA", "SFC" = "SFC"),
selected = "SANTOAMARO")),
mainPanel(plotlyOutput("city")))
))
server = shinyServer(function(input, output) {
II <- reactive({
Data20[ , c("DIAS", input$Cidades)]
})
output$city = renderPlotly({
ggplotly(ggplot(data = II(), mapping = aes_string("DIAS", y = input$cidades), group=1))+
geom_line(size = 1, col="pink")+
geom_point(size = 1, col="red" )+
labs(x = "DIAS") +
labs(y = "CASOS")+
scale_x_date(NULL, date_labels = "%d, %b", date_breaks = "3 days")+
scale_y_continuous(limits = c(0, 800), breaks = c(0,10,20,40,60,80,100,120,140,180,160,200,220,240,260,280,300,320,340,360,380,400,420,440,460,480,500,520,540,560,580,600,620,640,660,680,700,720,740,760,780,800,900))+
theme(plot.title = element_text(hjust = 0.5))+
theme(text=element_text(family=" Arial ", size=9, face="bold"))+
theme(axis.text.x = element_text(family="Arial", face="bold", size=10, angle=45))
})
})
shinyApp(ui = ui,server = server)
```
虽然出现带有城市名称的小部件,但图形已经形成。我已经尝试了几种方法来解决这个问题,但都无济于事。
如果有人能帮助我,我将不胜感激。
Felipe - 看起来这里可能发生了一些事情。
如果您的 II()
reactive
表达式是从 Data20
中提取日期和城市数据,那么您可能需要(注意硬括号):
Data20[ , c("DIAS", input$Cidades)]
否则,它会认为Data20
是一个函数。
此外,示例数据 Data20
具有诸如“SAUBARA”之类的列名称,但 selectInput
选项指的是 `SAUBARA `(带有反引号和 space)-这些必须相同。
最后,在ggplotly
中,如果你想让y-axis显示选择的城市,那么你可以试试:
aes_string(x = "DIAS", y = input$Cidades, group = 1)
...和 ggplotly
应该在 ggplot
对象上调用。
library(shiny)
library(ggplot2)
library(plotly)
ui <- shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
selectInput(inputId = "Cidades",
label = "Cidades:",
choices = c("Santo Amaro" = "SANTOAMARO", "Cachoeira" = "CACHOEIRA", "Cruz das Almas" = "CDA", "Saubara" = "SAUBARA", "SFC" = "SFC"),
selected = "SANTOAMARO")),
mainPanel(plotlyOutput("city")))
))
server <- shinyServer(function(input, output) {
II <- reactive({
Data20[ , c("DIAS", input$Cidades)]
})
output$city = renderPlotly({
ggplotly(ggplot(data = II(), mapping = aes_string(x = "DIAS", y = input$Cidades, group = 1)) +
geom_line(size = 1, col="pink")+
geom_point(size = 1, col="red" )+
labs(x = "DIAS", tail(129)) +
labs(y = "CASOS")+
scale_x_date(NULL, date_labels = "%d, %b", date_breaks = "3 days")+
scale_y_continuous(limits = c(0, 800), breaks = c(0,10,20,40,60,80,100,120,140,180,160,200,220,240,260,280,300,320,340,360,380,400,420,440,460,480,500,520,540,560,580,600,620,640,660,680,700,720,740,760,780,800,900))+
theme(plot.title = element_text(hjust = 0.5))+
theme(text=element_text(family=" Arial ", size=9, face="bold"))+
theme(axis.text.x = element_text(family="Arial", face="bold", size=10, angle=45)))
})
})
shinyApp(ui, server)
我是第一次使用 shiney。我想创建一个反应式小部件,其中包含我研究中感兴趣的城市的名称。选择城市时,渲染图必须改变。
这是我导入的 csv:
```{r}
Data20 = read_delim("SAC55.csv", delim = ",")
tail(Data20)
```
`DIAS ` `SANTOAMARO ` ` CACHOEIRA ` `CDA ` `SAUBARA ` SFC
<date> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2020-08-10 690 333 466 47 668
2 2020-08-11 695 335 470 47 676
3 2020-08-12 717 350 483 48 687
4 2020-08-13 719 356 500 48 701
5 2020-08-14 736 370 507 49 708
6 2020-08-15 763 377 527 49 713
```{r}
colnames(Data20) <- gsub(" ","",colnames(Data20))
```
DIAS SANTOAMARO CACHOEIRA CDA SAUBARA SFC
<date> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2020-08-10 690 333 466 47 668
2 2020-08-11 695 335 470 47 676
3 2020-08-12 717 350 483 48 687
4 2020-08-13 719 356 500 48 701
5 2020-08-14 736 370 507 49 708
6 2020-08-15 763 377 527 49 713
这就是我尝试创建反应式 selectImput
的方式Data20 = read_delim("SAC55.csv", delim = ",")
colnames(Data20) <- gsub(" ","",colnames(Data20))
Data20$DIAS = as.Date(Data20$DIAS)
```{r}
ui = shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
selectInput(inputId = "Cidades",
label = "Cidades",
choices = c("Santo Amaro" = "SANTOAMARO", "Cachoeira" = "CACHOEIRA", "Cruz das Almas" = "CDA", "Saubara" = "SAUBARA", "SFC" = "SFC"),
selected = "SANTOAMARO")),
mainPanel(plotlyOutput("city")))
))
server = shinyServer(function(input, output) {
II <- reactive({
Data20[ , c("DIAS", input$Cidades)]
})
output$city = renderPlotly({
ggplotly(ggplot(data = II(), mapping = aes_string("DIAS", y = input$cidades), group=1))+
geom_line(size = 1, col="pink")+
geom_point(size = 1, col="red" )+
labs(x = "DIAS") +
labs(y = "CASOS")+
scale_x_date(NULL, date_labels = "%d, %b", date_breaks = "3 days")+
scale_y_continuous(limits = c(0, 800), breaks = c(0,10,20,40,60,80,100,120,140,180,160,200,220,240,260,280,300,320,340,360,380,400,420,440,460,480,500,520,540,560,580,600,620,640,660,680,700,720,740,760,780,800,900))+
theme(plot.title = element_text(hjust = 0.5))+
theme(text=element_text(family=" Arial ", size=9, face="bold"))+
theme(axis.text.x = element_text(family="Arial", face="bold", size=10, angle=45))
})
})
shinyApp(ui = ui,server = server)
```
虽然出现带有城市名称的小部件,但图形已经形成。我已经尝试了几种方法来解决这个问题,但都无济于事。 如果有人能帮助我,我将不胜感激。
Felipe - 看起来这里可能发生了一些事情。
如果您的 II()
reactive
表达式是从 Data20
中提取日期和城市数据,那么您可能需要(注意硬括号):
Data20[ , c("DIAS", input$Cidades)]
否则,它会认为Data20
是一个函数。
此外,示例数据 Data20
具有诸如“SAUBARA”之类的列名称,但 selectInput
选项指的是 `SAUBARA `(带有反引号和 space)-这些必须相同。
最后,在ggplotly
中,如果你想让y-axis显示选择的城市,那么你可以试试:
aes_string(x = "DIAS", y = input$Cidades, group = 1)
...和 ggplotly
应该在 ggplot
对象上调用。
library(shiny)
library(ggplot2)
library(plotly)
ui <- shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
selectInput(inputId = "Cidades",
label = "Cidades:",
choices = c("Santo Amaro" = "SANTOAMARO", "Cachoeira" = "CACHOEIRA", "Cruz das Almas" = "CDA", "Saubara" = "SAUBARA", "SFC" = "SFC"),
selected = "SANTOAMARO")),
mainPanel(plotlyOutput("city")))
))
server <- shinyServer(function(input, output) {
II <- reactive({
Data20[ , c("DIAS", input$Cidades)]
})
output$city = renderPlotly({
ggplotly(ggplot(data = II(), mapping = aes_string(x = "DIAS", y = input$Cidades, group = 1)) +
geom_line(size = 1, col="pink")+
geom_point(size = 1, col="red" )+
labs(x = "DIAS", tail(129)) +
labs(y = "CASOS")+
scale_x_date(NULL, date_labels = "%d, %b", date_breaks = "3 days")+
scale_y_continuous(limits = c(0, 800), breaks = c(0,10,20,40,60,80,100,120,140,180,160,200,220,240,260,280,300,320,340,360,380,400,420,440,460,480,500,520,540,560,580,600,620,640,660,680,700,720,740,760,780,800,900))+
theme(plot.title = element_text(hjust = 0.5))+
theme(text=element_text(family=" Arial ", size=9, face="bold"))+
theme(axis.text.x = element_text(family="Arial", face="bold", size=10, angle=45)))
})
})
shinyApp(ui, server)