wns*_*mth 6 r knitr r-markdown shiny
我在一起使用闪亮与RMarkdown产生一个交互式文档,描述在这里.
使用以下代码,我设法绘制了一个交互式地图
```{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 %")
})
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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:

这可能是由于绘图区域的高度有限造成的.我已经尝试fig.height = 20在块选项中设置一个非常大的但没有结果.该怎么办?
您可以执行一个额外的步骤-添加一个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$Staerke, brks)), fill = cols, border = "white", title = "Parteistärke in %")
})
renderUI({
plotOutput("unsized", height = 500, width = 500)
})
```
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使用启动新的RMD光泽文档时创建的示例文档进行了测试:
```{r, echo=FALSE}
inputPanel(
selectInput("n_breaks", label = "Number of bins:",
choices = c(10, 20, 35, 50), selected = 20),
sliderInput("bw_adjust", label = "Bandwidth adjustment:",
min = 0.2, max = 2, value = 1, step = 0.2)
)
output$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)
})
```
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您只需在 中添加width和height选项即可renderPlot。类型?renderPlot以获取更多信息。
就你而言,
\n\nrenderPlot({\n partydata <- long_data %>%\n filter(Partei == input$map.party & Jahr == as.Date(input$map.year, "%Y"))\n g2g14@data <- old_geodata\n g2g14@data <- merge(g2g14@data, partydata, by.x = "GMDNR",by.y ="BFSNr")\n\n cols <- brewer.pal(5, "Purples")\n brks <- seq(0,100,20)\n colsForMap <- cols[findInterval(g2g14@data$Staerke, vec = brks[1:5])]\n\n plot(g2g14, col = colsForMap, border = "white")\n legend("topleft", legend = levels(cut(g2g14@data$Staerke, brks)), fill = cols, border = "white", title = "Parteist\xc3\xa4rke in %")\n}, width = 1200, height = 900) ## <--- add outside the curly braces\nRun Code Online (Sandbox Code Playgroud)\n