dplyr Use Cases: Non-Interactive Mode

steadyfish

7 years ago

[This article was first published on Just Another Data Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The current release of dplyr (v 0.4.1) offers lot more flexibility regarding usage of important verbs in non-interactive mode. In this post, I’m exploring different possible use-cases.

group_by_, select_, rename_:

For group_by_, select_ and rename_, we can pass a character vector of variable names as an argument to .dots parameter.

filter_:

To use filter_ function, we need to pass filter criteria as a parameter to .dots. The criteria can be created using lazyeval::interp function.

mutate_, transmute_, summarise_:

We need to provide 2 things to these functions – a list of functions to be applied on the input variables (with corresponding input variables) and a character vector of output variables names. These 2 things can be passed to the .dots argument using combination of lazyeval::interp and setNames function.

joins:

For 2 table verbs, there’s no *_join_ function and we don’t need one for general purposes. We can just pass a named vector to by argument. setNames function comes in handy while doing this.

The R Code for the above mentioned use cases is shown below and can also be found on this GitHub Gist.

To leave a comment for the author, please follow the link and comment on their blog: Just Another Data Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.