Vector Operations and Utilities

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: August 2026 · 53 examples · All platforms

Quick Start

  1. Select a topic from the sidebar
  2. Study the code and expected output
  3. Run with Rscript file.R or paste into RStudio
  4. Modify inputs to experiment and learn

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R Program to Find Minimum and Maximum
Output — Uses min() and max() on a numeric vector.
Min: 1
Max: 8
R Program to Add Two Vectors
Output — Adds two numeric vectors element-wise.
[1] 5 7 9
Find Sum, Mean and Product of Vector in R Programming
Output — Computes sum, mean, and product of a numeric vector.
Sum: 10
Mean: 2.5
Product: 24
R Program to Sort a Vector
Output — Sorts a numeric vector in ascending order.
[1] 1 3 5 8
R Program to Find the Sum of Natural Numbers
Output — Sums the first N natural numbers.
[1] 5050
Sum of Natural Numbers Using Recursion
Output — Sums 1..N recursively.
[1] 55
R Program to Check if a Vector Contains the Given Element
Output — Tests membership using %in%.
[1] FALSE
R Program to Count the Number of Elements in a Vector
Output — Counts elements using length.
[1] 4
R Program to Find Index of an Element in a Vector
Output — Finds index using which.
[1] 2
R Program to Access Values in a Vector
Output — Accesses elements via indexing.
[1] 10 30
R Program to Find the Statistical Mode
Output — Computes mode via table and which.max.
[1] 3
R Program to Add Leading Zeros to Vector
Output — Formats integers with fixed width using sprintf.
[1] "005" "042" "300"

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

Related:All R Examples · Python Examples · Java Examples