bookdown/rmarkdown/knitr:用更高版本的代码块的(图形)结果打开文档吗? [英] bookdown/rmarkdown/knitr: Open a document with the (graphical) result of a later code chunk?
问题描述
想象一个简化的bookdown/rmarkdown文档，其内容如下:
Imagine a simplified bookdown/rmarkdown document that goes something like this:
---
title: "Test Doc"
author: "Balin"
date: "May 25, 2018"
output:
bookdown::pdf_document2:
toc: no
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
<!-- Placeholder - See question -->
This stands in for an extensive report where `code`, its documentation
and interpretation of its results are integrated:
1. We load some data:
```{r data-loading}
my_data <- cars
```
2. We (rougly) explore that data and report on it:
```{r data-exploration}
summary(my_data)
```
3. We transform the data:
```{r data-transform}
my_data <- log2(my_data)
```
4. ... many, many more steps ...
5. We perform a (central) graphical analysis:
```{r data-plot}
plot(my_data)
```
6. We state some interpretation ... etc.
在这样的报告中，我旨在将"c2>"位替换为执行摘要"/隐密峰值"部分，该部分以块data-plot的图形输出为中心.在给定相对位置的情况下保持code/叙述性整合，同时bookdown/rmarkdown/knitr是否可以实现?
In such a report I am aiming to replace the <!-- Placeholder - See question --> bit with an "Executive Summary"/"Sneak-Peak" section, that centers on the graphical output of chunk data-plot. Is that achievable in bookdown/rmarkdown/knitr while maintaining the code/narrative integration given the relative positioning?
推荐答案
是的，您可以使用knitr::fig_chunk()动态检索以特定代码块(例如
Yes, you can use knitr::fig_chunk() to dynamically retrieve the path to a figure produced in a specific code chunk, e.g.,
---
title: "Test Doc"
author: "Balin"
date: "May 25, 2018"
output:
bookdown::pdf_document2:
toc: no
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
# Executive Summary {-}
Here is an amazing discovery!
`)
# Detailed analysis
This stands in for an extensive report where `code`, its documentation
and interpretation of its results are integrated:
1. We load some data:
```{r data-loading}
my_data <- cars
```
2. We (rougly) explore that data and report on it:
```{r data-exploration}
summary(my_data)
```
3. We transform the data:
```{r data-transform}
my_data <- log2(my_data)
```
4. ... many, many more steps ...
5. We perform a (central) graphical analysis:
```{r data-plot}
plot(my_data)
```
6. We state some interpretation ... etc.
要使其适用于其他类型的输出格式，您可能需要更改文件扩展名pdf.一种方法是:
To make this work for other types of output formats, you may need to change the filename extension pdf. One way to do it can be:
) 'pdf' else 'png')`)
当然，这假定您将pdf设备用于LaTeX/PDF输出格式，并将png用于其他格式(这是R Markdown中图形设备的默认设置).
Of course, this assumes that you use the pdf device for LaTeX/PDF output formats, and use png for other formats (which are the default settings for graphical devices in R Markdown).
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