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Non-Standard Evaluation (NSE) for developers

R

NSE

Metaprogramming

Non-Standard Evaluation (NSE) is not just a curiosity — it’s a core part of modern R programming, especially for package developers who want to:

R.Andres Castaneda

What Is Non-Standard Evaluation (NSE) and Why Does It Matter?

R

NSE

Metaprogramming

Learn how to use R’s Non-Standard Evaluation tools — quote(), substitute(), deparse(), and eval() — to capture, inspect, and control code execution. This post breaks down these core functions with clear examples for logging, metaprogramming, and tidy evaluation.

R.Andres Castaneda

Catching Errors Inside lapply(): Nested tryCatch and Clean Error Reporting in R

R

Error Handling

Functional Programming

Learn how to trace, classify, and report nested errors inside functional pipelines using tryCatch(), rlang, and cli.

R. Andres Castañeda

Understanding R’s Call Stack: `sys.call()` and Friends

R

Metaprogramming

Debugging

Understanding call stack introspection in R

R.Andres Castaneda

How to Create Robust Argument Checking in R Functions

R programming

Best practices

Create a function that checks the arguments of another function

R.Andres Castaneda

Collapse Cheat sheet

collapse

data.table

dplyr

efficiency

Syntax translation from dplyr and data.tablen to collapse

PIP Technical team

Mastering tryCatch() in R: From Basics to Structured Logging

R

Error Handling

Robust Code

Learn how to use tryCatch() in R to handle errors and warnings, recover from failures, and build structured logging systems.

Diana C. Garcia