如何在交互式RMarkdown中控制绘图高度/大小(有光泽)

时间:2015-04-17 07:37:48

标签: r shiny knitr r-markdown

我正在使用Shiny与RMarkdown一起制作交互式文档,如here所述。

使用以下代码,我设法绘制了交互式地图

```{r, echo=FALSE, warning=FALSE, message=FALSE}

g2g14 <- readOGR("input//geodata", "g2g14") # no projection needs to be specified
old_geodata <- g2g14@data

inputPanel(
  selectInput("map.party", label = "Partei", choices = unique(long_data$Partei), selected = "FDP"),
  selectInput("map.year", label = "Wahljahr", choices = unique(format.Date(long_data$Jahr, "%Y")), selected = "1971")
)

renderPlot({
  partydata <- long_data %>%
    filter(Partei == input$map.party & Jahr == as.Date(input$map.year, "%Y"))
  g2g14@data <- old_geodata
  g2g14@data <- merge(g2g14@data, partydata, by.x =  "GMDNR",by.y ="BFSNr")

  cols <- brewer.pal(5, "Purples")
  brks <- seq(0,100,20)
  colsForMap <- cols[findInterval(g2g14@data$Staerke, vec = brks[1:5])]

  plot(g2g14, col = colsForMap, border = "white")
  legend("topleft", legend = levels(cut(g2g14@data$Staerke, brks)), fill = cols, border = "white", title = "Parteistärke in %")

})

问题:从控制台运行代码时,地图很好地缩放,但在交互式文档中,绘图太小了:

enter image description here

这可能是由于绘图区域的高度有限造成的。 我已经尝试在块选项中设置一个非常大的fig.height = 20,但没有结果。 该怎么办?

2 个答案:

答案 0 :(得分:4)

您可以通过一个额外步骤执行此操作 - 添加renderUI

```{r, echo=FALSE, warning=FALSE, message=FALSE}

g2g14 <- readOGR("input//geodata", "g2g14") # no projection needs to be specified
old_geodata <- g2g14@data

inputPanel(
  selectInput("map.party", label = "Partei", choices = unique(long_data$Partei), selected = "FDP"),
  selectInput("map.year", label = "Wahljahr", choices = unique(format.Date(long_data$Jahr, "%Y")), selected = "1971")
)

output$unsized <- renderPlot({
  partydata <- long_data %>%
    filter(Partei == input$map.party & Jahr == as.Date(input$map.year, "%Y"))
  g2g14@data <- old_geodata
  g2g14@data <- merge(g2g14@data, partydata, by.x =  "GMDNR",by.y ="BFSNr")

  cols <- brewer.pal(5, "Purples")
  brks <- seq(0,100,20)
  colsForMap <- cols[findInterval(g2g14@data$Staerke, vec = brks[1:5])]

  plot(g2g14, col = colsForMap, border = "white")
  legend("topleft", legend = levels(cut(g2g14@data$Staerke, brks)), fill = cols, border = "white", title = "Parteistärke in %")

})

renderUI({
  plotOutput("unsized", height = 500, width = 500)
})
```

使用在启动新的RMD闪亮文档时创建的示例文档进行测试:

```{r, echo=FALSE}
inputPanel(
  selectInput("n_breaks", label = "Number of bins:",
              choices = c(10, 20, 35, 50), selected = 20),

  sliderInput("bw_adjust", label = "Bandwidth adjustment:",
              min = 0.2, max = 2, value = 1, step = 0.2)
)

output$unsized <- renderPlot({
  hist(faithful$eruptions, probability = TRUE, breaks = as.numeric(input$n_breaks),
       xlab = "Duration (minutes)", main = "Geyser eruption duration")

  dens <- density(faithful$eruptions, adjust = input$bw_adjust)
  lines(dens, col = "blue")
})

renderUI({
  plotOutput("unsized", height = 250, width = 250)
})

``` 

答案 1 :(得分:3)

您只需在width中添加heightrenderPlot个选项即可。输入?renderPlot了解详情。

在你的情况下,

renderPlot({
  partydata <- long_data %>%
    filter(Partei == input$map.party & Jahr == as.Date(input$map.year, "%Y"))
  g2g14@data <- old_geodata
  g2g14@data <- merge(g2g14@data, partydata, by.x =  "GMDNR",by.y ="BFSNr")

  cols <- brewer.pal(5, "Purples")
  brks <- seq(0,100,20)
  colsForMap <- cols[findInterval(g2g14@data$Staerke, vec = brks[1:5])]

  plot(g2g14, col = colsForMap, border = "white")
  legend("topleft", legend = levels(cut(g2g14@data$Staerke, brks)), fill = cols, border = "white", title = "Parteistärke in %")
}, width = 1200, height = 900)  ## <--- add outside the curly braces