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Here are general tips and best practices for optimizing RMarkdown documents for efficient reporting.
1. Use Chunk Options Wisely:
- RMarkdown documents consist of code chunks. Utilize chunk options to control how code is executed and displayed. For example, use
echo = FALSE
to hide code,eval = FALSE
to prevent code execution, andresults = 'hide'
to hide both code and output.
```{r, echo = FALSE, eval = FALSE}
# Your code here
2. Parameterized Reports:
- Leverage parameterized reports to create dynamic documents. Incorporate parameters into your RMarkdown document, allowing users to customize the report output without modifying the underlying code.
---
title: "Parameterized Report"
params:
dataset: "iris"
---
```{r}
data <- get(params$dataset)
summary(data)
3. Chunk Caching:
- Use chunk caching (
cache = TRUE
) to save the results of expensive computations. This can significantly speed up the rendering process, especially when working with large datasets or time-consuming calculations.
```{r, cache = TRUE}
# Expensive computations here