我对 R 还很陌生,我正在尝试组装一个 Flexdashboard,它从用户输入中获取 x 和 y 变量并返回这些值的图表。到目前为止,我可以在下面的代码中使用 ggplotly 生成所需的图表。
output$scatter <-renderPlotly({
cat('input$x=',input$x,'\n')
cat('input$y=',input$y,'\n')
p <- ggplot(Merged_data_frame_hcat, aes_string(x=input$x, y=input$y)) +
geom_point()+
theme_minimal(base_size = 14)
g <- ggplotly(p, source = 'source') %>%
layout(dragmode = 'lasso',
margin = list(l = 100),
font = list(family = 'Open Sans', size = 16))
})
然而,我意识到使用 ggplotly,我的 x 轴的定义并不像我使用plot_ly 在仪表板外部绘制相同变量时那样定义。 有没有办法在 Flexdashboard 旁边使用plot_ly?到目前为止,我写了这个,但没有用。顺便说一句,我在这里使用 noquote 因为plot_ly 没有很好地接受作为字符串的输入名称
output$scatter <-renderPlotly({
cat('input$x=',input$x,'\n')
cat('input$y=',input$y,'\n')
if (length(input$y) == 2){
x1 = noquote(input$x)
y1 =noquote(input$y[1])
y2 = noquote(input$y[2])
plot_ly(Merged_data_frame_hcat)%>%
add_lines(x= ~x1,y =~y1, name = "Red")
add_lines(x= ~x1, y =~y2, name = "Green")
}
})
在我忘记之前,这是我的数据框的示例,为了简单起见,我已经减少了
df <-data.frame("Timestamp.Excel_1900."=c("2019-04-01 16:52:51","2019-04-01 16:57:46","2019-04-01 17:02:51","2019-04-01 17:07:46","2019-04-01 17:12:52","2019-04-01 17:17:46"), "Temperature.C."= c(5.2995,5.3155,5.3353,5.3536,5.3770,5.4044), "pH.pH."= c(7.60,7.80,7.96,8.04, 8.09, 8.14))
最佳答案
有多种方法可以实现这项工作。不幸的是,您使用 noquote
的方法不起作用。
- 可能最简单的方法是从 df 中提取列并将它们作为向量传递给
plotly
,例如x = df[[输入$x]]
- 由于
plotly
API 使用片面公式,第二种方法是将变量作为公式传递,例如x = as.formula(paste0("~", input$x))
- 关注此post您还可以使用
base::get
,例如x = ~get(input$x)
- 关注此post您还可以使用整洁的评估
以下示例 flexdashboard 中说明了所有四种方法:
---
title: "Plotly"
output: flexdashboard::flex_dashboard
runtime: shiny
---
```{r}
library(plotly)
library(rlang)
```
```{r global, include=FALSE}
# load data in 'global' chunk so it can be shared by all users of the dashboard
df <- data.frame("Timestamp.Excel_1900." = c("2019-04-01 16:52:51","2019-04-01 16:57:46","2019-04-01 17:02:51","2019-04-01 17:07:46","2019-04-01 17:12:52","2019-04-01 17:17:46"), "Temperature.C."= c(5.2995,5.3155,5.3353,5.3536,5.3770,5.4044), "pH.pH."= c(7.60,7.80,7.96,8.04, 8.09, 8.14))
```
Column {.sidebar}
-----------------------------------------------------------------------
```{r}
selectInput("x",
"x",
choices = names(df),
selected = "Timestamp.Excel_1900."
)
selectizeInput("y",
"y",
choices = names(df),
selected = c("Temperature.C.", "pH.pH."),
multiple = TRUE,
options = list(maxItems = 2)
)
```
Column
-----------------------------------------------------------------------
```{r}
# Pass the data columns as vectors
renderPlotly({
if (length(input$y) == 2) {
x1 <- df[[input$x]]
y1 <- df[[input$y[1]]]
y2 <- df[[input$y[2]]]
plot_ly() %>%
add_lines(x = x1, y = y1, name = "Red") %>%
add_lines(x = x1, y = y2, name = "Green")
}
})
```
```{r}
# One-sided formulas
renderPlotly({
if (length(input$y) == 2) {
x1 <- input$x
y1 <- input$y[1]
y2 <- input$y[2]
plot_ly(df) %>%
add_lines(x = as.formula(paste("~", x1)), y = as.formula(paste("~", y1)), name = "Red") %>%
add_lines(x = as.formula(paste("~", x1)), y = as.formula(paste("~", y2)), name = "Green")
}
})
```
Column
-----------------------------------------------------------------------
```{r}
# Using base::get
renderPlotly({
if (length(input$y) == 2) {
x1 <- input$x
y1 <- input$y[1]
y2 <- input$y[2]
plot_ly(df) %>%
add_lines(x = ~ get(x1), y = ~ get(y1), name = "Red") %>%
add_lines(x = ~ get(x1), y = ~ get(y2), name = "Green")
}
})
```
```{r}
# Using tidy evaluation
renderPlotly({
if (length(input$y) == 2) {
x1 <- input$x
y1 <- input$y[1]
y2 <- input$y[2]
eval_tidy(
quo_squash(
quo({
plot_ly(df) %>%
add_lines(x = ~ !!sym(x1), y = ~ !!sym(y1), name = "Red") %>%
add_lines(x = ~ !!sym(x1), y = ~ !!sym(y2), name = "Green")
})
)
)
}
})
```
关于r - 如何在shiny或flexdashboard中制作用户选择的变量的图表?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/63543144/