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Processing Rmarkdown inside chunks


Processing Rmarkdown inside chunks

By : Topkek
Date : November 22 2020, 02:42 PM
will help you You're very close already. You need to use cat instead of print. You will also want to change how you supply your string. Your section headings won't render with white space in front of them.
code :
---
title: "Untitled"
output: html_document
---

```{r}
outliers <- TRUE
```

```{r conditional, eval=outliers, results="asis"}
# If outliers==TRUE, the following section is added to the report
cat(
"# Conditional section  

## Subsection

This is here because **outliers==TRUE**!")
```
---
title: "Untitled"
output: html_document
---

```{r}
outliers <- TRUE
```

```{r conditional, eval=outliers, results="asis"}
# If outliers==TRUE, the following section is added to the report
cat(
  "# Conditional section  ",
  "## Subsection  ",
  "This is here because **outliers==TRUE**!",
  sep = "\n")
```


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How to get help on Rmarkdown chunks options?

How to get help on Rmarkdown chunks options?


By : Wilson Arboleda
Date : March 29 2020, 07:55 AM
may help you . Have you looked @ the documentation yihui provides on the knitr site?
I also highly recommend checking out his book he recently released dynamic documents with R and Knitr he covers everything you'd reasonably use and then some.
code :
}```

adding a comma
```{r,
}```

and pressing tab after the comma and it will give you all the potential options - they are well named and you can easily focus your search more thoroughly. For example, if you noticed the `purl` option you could explore more and find it is for extracting R code from the chunk.
How to make code chunks depend on all previous chunks in knitr/rmarkdown?

How to make code chunks depend on all previous chunks in knitr/rmarkdown?


By : Aojum
Date : March 29 2020, 07:55 AM
around this issue When you use source(), knitr is unable to analyze the possible objects to be created from it; knitr must be able to see the full source code to analyze the dependencies among code chunks. There are two approaches to solve your problem:
Tell the second chunk that it depends on the value of x by adding an arbitrary chunk option that uses the value of x, e.g. ```{r cache.extra = x}; then whenever x changes, the cache of this code chunk will be automatically invalidated (more info); Let knitr see the full source code; you can pass the source code to a code chunk via the chunk option code, e.g. ```{r code = readLines('data1.R')} (same for data2.R); then dep_auto() should be able to figure out x was created from the first chunk, and used in the second chunk, so the second chunk must depend on the first chunk.
How to evaluate all chunks in Rmarkdown

How to evaluate all chunks in Rmarkdown


By : phoenixs
Date : March 29 2020, 07:55 AM
I wish did fix the issue. eval=TRUE is the default behaviour for .Rmd chunks, so you shouldn't need to explicitly add it to your chunks' options.
However, you do need to include {r} after your opening fences in order for the chunk to be recognised as R code and evaluated accordingly. Chunks that do not open with ```{r} will not be run, hence the problem you're seeing.
code :
```{r}
1+1
```
Some text

```{r}
2+2
```
rmarkdown running child chunks from inside RStudio

rmarkdown running child chunks from inside RStudio


By : niki allen
Date : March 29 2020, 07:55 AM
seems to work fine This has not been implemented in RStudio yet, and probably won't be for some time.
However, you can write your R code in a separate file, reference it in R Markdown chunks, and execute those chunks interactively in RStudio. The way to do this is with knitr's code externalization feature. You can read about how to use it in R Markdown notebooks here:
How can I add line numbers that go across chunks in Rmarkdown?

How can I add line numbers that go across chunks in Rmarkdown?


By : user3175472
Date : March 29 2020, 07:55 AM
wish help you to fix your issue As @mb21 pointed out in the comments, one can control the first line number of a code block by adding a startFrom attribute. However, this cannot be done manually, as knitr can split code blocks into multiple blocks, depending on content. We'll want to add this attribute programmatically.
The easiest method that I'm aware of is to let pandoc modify the structure, as all blocks have already been evaluated by the time pandoc sees them. We will use Lua instead of R for scripting, as that is the most efficient when working with pandoc filters.
code :
-- Number of code lines seen so far.
local total_lines_count = 0

-- Count the number of newlines in a string.
function count_lines (text)
  local count = 0
  local last_pos = 0
  repeat
    last_pos = string.find(text, '\n', last_pos + 1, true)
    count = count + 1
  until not last_pos
  return count
end

function CodeBlock (cb)
  -- do nothing for result blocks
  if not cb.classes:includes 'numberLines' then return nil end

  cb.attributes['startFrom'] = total_lines_count + 1
  total_lines_count = total_lines_count + count_lines(cb.text)
  return cb
end
---
output:
  html_document:
    highlight: kate
    pandoc_args: ['--lua-filter=number-lines.lua']
---
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