Recursion Patterns in R

Key takeaway: Practice R with 53+ runnable code examples — vectors, strings, math, data frames, recursion, and sampling — with expected output to verify instantly.

R is a programming language for statistical computing and data analysis. These examples are for data science students, researchers, analysts, and anyone learning R for coursework or work projects.

Last updated: October 2026 · 53 examples · All platforms

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  2. Study the code and expected output
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Convert Decimal into Binary using Recursion in R

Converts a decimal integer to binary string recursively.

Program (R)
decToBin <- function(n) {
  if (n == 0) return("0")
  if (n == 1) return("1")
  paste0(decToBin(n %/% 2), n %% 2)
}
print(decToBin(13))
Expected Output
[1] "1101"

R Program to Concatenate Two Strings

Concatenates strings using paste0.

Program (R)
a <- "Hello"
b <- "World"
print(paste0(a, " ", b))
Expected Output
[1] "Hello World"

Frequently Asked Questions

Use Rscript from your terminal. Install R from CRAN, save as main.R, run Rscript main.R. Or use RStudio.

No, base R only. All examples use built-in functions for maximum portability.

Yes, absolutely. Copy, tweak inputs, observe outputs — experimentation is the fastest way to learn.

Yes, fully cross-platform. R runs on Windows, macOS, and Linux. Works with R 3.6+.

Learn R the Practical Way

R ranks among the top 20 languages on the TIOBE Index, dominant in academia and data science.

Topics Covered

  • Vectors, lists, and data frames
  • String manipulation and text processing
  • Math, statistics, and random sampling
  • Control flow — if/else, for, while
  • Recursion and custom functions
  • File I/O and formatted output

Who Is This For?

  • Data science students — coursework and R-based exams
  • Researchers — statistical analysis for papers
  • Analysts — data wrangling skills for work
  • Career switchers — transitioning into data roles

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