Writing Clean R Code
Clean R code is neat and easy to read, like a tidy bedroom where you can find everything. It uses clear names, sensible spacing, and helpful notes.
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Writing Clean R Code
Clean R code uses consistent, descriptive names (typically snake_case or camelCase), keeps functions focused on one task, and avoids deeply nested logic where a helper function would read more clearly.
Comments should explain intent, not restate obvious code. Following a consistent style, like the tidyverse style guide, makes code easier for others (and future you) to read.
Note:
Pick one naming convention (snake_case is the R community's most common choice) and use it consistently throughout a project.
Example: Writing Clean R Code
# Clear, descriptive names and a focused function
calculate_average_score <- function(scores) {
mean(scores, na.rm = TRUE)
}
student_scores <- c(85, 90, NA, 78)
cat("Average:", calculate_average_score(student_scores), "\n")Login to try C/C++/Java/PHP code in the editor
Related Topics
{# common_mistakes/chapter_summary/browser_support: on Hindi pages the
view already swaps in the hi_ translation fields (or blanks these
out if untranslated), so this renders correctly for both languages
without a lang_code check here. #}
Common Mistakes
- Naming variables with single letters like
x1anddf2, when descriptive names show what the data means. - Mixing naming styles such as
calculateScoreandstudent_scores, when one style should be used. - Writing long functions that do many things, when short focused functions are easier to test.
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