Question 1

How do I use ezknitr to run the same analysis on multiple datasets?

Accepted Answer

Use the params argument in ezknit() to pass different values like dataset names, and set out_dir or out_suffix to organize outputs, as shown in the advanced use case with human and mouse data.

Question 2

What's the difference between ezknitr and rmarkdown::render()?

Accepted Answer

ezknitr focuses on solving knitr's working directory and output path issues, while rmarkdown::render() has built-in YAML parameter support but doesn't offer the same directory flexibility. ezknitr is better for complex project structures.

Question 3

Can ezknitr handle nested project directories?

Accepted Answer

Yes, ezknitr is designed for nested directories, allowing you to set the working directory relative to the project root and specify custom output paths, making it ideal for organized projects with separate folders.

Question 4

How to pass parameters to an Rmd file with ezknitr?

Accepted Answer

Use the params argument in ezknit() or ezspin() with a list of parameters, and ensure your Rmd file can access them, possibly using set_default_params() for default values as mentioned in the README.

Question 5

Is ezknitr compatible with RStudio?

Accepted Answer

ezknitr works with any R environment, including RStudio, as it functions as a wrapper around knitr. However, it doesn't have specific RStudio integrations, so it relies on standard R execution.

Question 6

What are the alternatives to ezknitr for directory control in knitr?

Accepted Answer

Alternatives include manually setting knitr options, using the here package for consistent path management, or adapting rmarkdown::render() with custom configurations, but ezknitr provides a dedicated solution for ease of use.

ezknitr

What is ezknitr?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions