将绘图嵌入 PDF rmarkdown

Question

我最初遇到了饼图中标签重叠的问题ggplot，因此建议我改用它plotly。这解决了我的标签重叠问题，但现在我需要找到一种方法将图形嵌入plotly到我的 PDF 文档中。

有了我的先验ggplot，我可以直接去'print(piechart, floating = FALSE)但它没有出现plotly。

---
title: "Untitled"
author: "Morg"
date: "August 20, 2019"
output: pdf_document
---

```{r setup, include=FALSE}
library(dplyr)
library(plotly)

#
rptyear <- 2018
colours <- c("A" = "royalblue3", "B" = "red", "C" = "gold", "D" = "green4")

# data
premiumtable <- data.frame(Var1 = rep(c("A","B","C","D"),11),
                           Var2 = c(rep(2009,4),rep(2010,4),rep(2011,4),rep(2012,4),rep(2013,4),rep(2014,4),rep(2015, 4),rep(2016,4), rep(2017,4),rep(2018,4),rep(2019,4)),
                           Freq = as.numeric(c(13223284, 3379574,721217, 2272843,14946074,4274769, 753797,2655032, 15997384, 4952687, 722556,3035566,16244348,5541543,887109,3299966,15841630,6303443,1101696,3751892,14993295, 6993626,1312650,4158196,13946038, 7081457,1317428,4711389, 12800640, 6923012, 1345159, 4911780, 12314663, 6449919, 1395973,5004046,12612704,6968110,1507382,5745079,15311213,8958588,1849069,6819488)))

# prepare plot data
currentPrem <-   
  premiumtable %>% 
  filter(Var2 == rptyear, Freq != 0) %>% 
  mutate(Freq = as.numeric(Freq))

# create plot labels
labels = paste0(currentPrem$Var1, "\n $",prettyNum(round(as.numeric(currentPrem$Freq)/1000), big.mark = ","))

# create plot
piechart <- plot_ly(currentPrem,
        labels = ~labels,
        values = ~Freq, type = 'pie',
        textposition = 'outside',
        textinfo = 'label',
        colors = colours) %>%
  layout(title = paste("YTD Numbers:", rptyear),
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         showlegend = FALSE)

```

有人告诉我：“如果您想要 PDF 格式的输出，您可以使用export()写入磁盘（png、pdf 等），然后knitr::include_graphics()或者您可以使用该包webshot。如果您需要，我会将此作为一个新问题提出更多详情。”

我想我更喜欢使用webshot。我不希望每次运行此报告时都保存 40 个 png 文件。（我的报告正在循环）

没有错误消息，当我尝试打印或只是piechart在块中键入“”时，它只是显示空白

我试过了：

export('piechart', 'piechart.png', 'png')
knitr::include_graphics("piechart.png")

我收到此错误：

PhantomJS not found. You can install it with webshot::install_phantomjs(). If it is installed, please make sure the phantomjs executable can be found via the PATH variable.

Answer 1

您应该考虑尝试webshot2而不是使用 webshot 。请参阅我对类似案例的详细回答。

整个工作代码

---
  title: "Untitled"
author: "Morg"
date: "August 20, 2019"
output: pdf_document
---

  ```{r setup, include=FALSE}
library(dplyr)
library(plotly)

#
rptyear <- 2018
colours <- c("A" = "royalblue3", "B" = "red", "C" = "gold", "D" = "green4")

# data
premiumtable <- data.frame(Var1 = rep(c("A","B","C","D"),11),
                           Var2 = c(rep(2009,4),rep(2010,4),rep(2011,4),rep(2012,4),rep(2013,4),rep(2014,4),rep(2015, 4),rep(2016,4), rep(2017,4),rep(2018,4),rep(2019,4)),
                           Freq = as.numeric(c(13223284, 3379574,721217, 2272843,14946074,4274769, 753797,2655032, 15997384, 4952687, 722556,3035566,16244348,5541543,887109,3299966,15841630,6303443,1101696,3751892,14993295, 6993626,1312650,4158196,13946038, 7081457,1317428,4711389, 12800640, 6923012, 1345159, 4911780, 12314663, 6449919, 1395973,5004046,12612704,6968110,1507382,5745079,15311213,8958588,1849069,6819488)))

# prepare plot data
currentPrem <-   
  premiumtable %>% 
  filter(Var2 == rptyear, Freq != 0) %>% 
  mutate(Freq = as.numeric(Freq))

# create plot labels
labels = paste0(currentPrem$Var1, "\n $",prettyNum(round(as.numeric(currentPrem$Freq)/1000), big.mark = ","))

# create plot
piechart <- plot_ly(currentPrem,
                    labels = ~labels,
                    values = ~Freq, type = 'pie',
                    textposition = 'outside',
                    textinfo = 'label',
                    colors = colours) %>%
  layout(title = paste("YTD Numbers:", rptyear),
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         showlegend = FALSE)

htmlwidgets::saveWidget(widget = piechart, file = "hc.html")
webshot(url = "hc.html", file = "hc.png", delay = 1, zoom = 4, vheight = 500)

```

输出