Debugging in R

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/Description
One of the most important tasks in any programming language or development environment is debugging. In this course, you'll discover ways you can debug R code and improve the resilience of your R programs through defensive programming.

Target Audience
Individuals with some R and data science experience working toward a wider degree of knowledge in using R for data science

Prerequisites
None

Expected Duration (hours)
0.9

Lesson Objectives

Debugging in R

start the course

debug R code with RStudio

use the traceback function to examine the call stack

use browser to step through R code

use R warning and message functions

implement handlers for debugging

use the microbenchmark library to benchmark R performance

identify methods of defensive programming in R

set your R program to report warnings as errors for debugging

implement asserts in R

use the pryr library to examine memory use in R

trace address and reference information in R using pryr

add the browser function to some R code to debug it

Course Number:
df_dsur_a02_it_enus

Expertise Level
Intermediate