R Online Compiler | Free Online Compiler

Code

cat("Hello, R!\\n")

STDIN (optional)

Args (space separated)

Output

What Is the R Online Compiler?

This tool lets you write and run R scripts directly in your browser without installing R or RStudio on your machine. Whether you are learning R for the first time or quickly testing a statistical computation, this compiler provides instant console output.

R is a programming language and environment designed for statistical computing and data analysis. It is widely used by statisticians, data scientists, and researchers for data manipulation, statistical modeling, and exploratory analysis. This online compiler supports base R functionality including vectors, data frames, matrices, and all built-in statistical functions.

All code executes on a remote sandboxed server powered by the Piston API. Your browser sends the R script to the server, which runs it and returns the console output. No local installation is required.

How It Works

Write your R code in the editor panel. The editor starts with a simple cat() example, but you can replace it with any valid R script.
Provide input in the STDIN field if your script reads from standard input using readLines(stdin()) or scan(file="stdin"). Leave this empty if your script does not need input.
Add command-line arguments in the Args field if your script reads from commandArgs(). Enter arguments separated by spaces.
Click the Run button to send your code to the Piston execution server. The server runs your R script and captures all console output.
View the results in the Output panel. You will see all printed output, computed results, and any error or warning messages.

Step-by-Step Example

Suppose you want to compute basic statistics on a dataset. Here is how you would do it:

First, type the following code into the editor panel:

# Create a sample dataset
scores <- c(85, 92, 78, 95, 88, 76, 91, 83, 87, 94)

# Compute basic statistics
cat("Sample size:", length(scores), "\n")
cat("Mean:", mean(scores), "\n")
cat("Median:", median(scores), "\n")
cat("Std Dev:", sd(scores), "\n")
cat("Min:", min(scores), "\n")
cat("Max:", max(scores), "\n")

# Summary statistics
cat("\nFull summary:\n")
print(summary(scores))

Click the Run button. The server executes your script and the Output panel displays the computed statistics:

Sample size: 10
Mean: 86.9
Median: 87.5
Std Dev: 6.436886
Min: 76
Max: 95

Full summary:
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
  76.00   83.50   87.50   86.90   91.75   95.00

Use Cases

Learning R programming fundamentals. Practice vectors, lists, data frames, control flow, and function definitions in a zero-setup environment.
Running statistical computations. Quickly compute means, standard deviations, correlations, t-tests, linear regressions, and other statistical analyses.
Practicing data manipulation. Work with data frames using base R functions like subset(), merge(), aggregate(), and apply() family functions.
Preparing for data science interviews. Test R solutions for common interview problems involving statistics, data wrangling, and algorithm implementation.
Exploring linear algebra. Use matrix operations, eigenvalue decomposition, and other numerical methods available in base R.

Limitations and Notes

Console output only. This environment does not support graphical output. Functions like plot(), hist(), and barplot() will not produce visible charts.
No CRAN packages. You cannot install external packages with install.packages(). Only base R and pre-installed packages are available.
No tidyverse. Popular packages like dplyr, ggplot2, tidyr, and readr are not available. Use base R equivalents instead.
No file I/O beyond stdin. You cannot read from or write to files on disk. Use the STDIN field for input data.
Execution timeout applies. Scripts that take too long or enter infinite loops are terminated automatically.
No network access. Functions that require internet connectivity will not work in this sandboxed environment.

Frequently Asked Questions

What R version does this compiler use?

It uses the latest available R version provided by the Piston execution engine.

Can I install CRAN packages?

No, CRAN packages cannot be installed. Only base R and built-in packages are available in this environment.

Can I use data frames?

Yes, data frames are part of base R and are fully supported, including creating, subsetting, and manipulating them.

Can I create plots?

No, this environment provides console output only. Graphical plotting functions like plot() and ggplot2 are not supported.

Is tidyverse available?

No, tidyverse packages including dplyr, ggplot2, and tidyr are not available. Use base R functions instead.

Can I perform matrix operations?

Yes, matrix creation, multiplication, transposition, and other linear algebra operations are fully supported in base R.

Can I read input with readLines?

Yes, you can use readLines with stdin() to read input. Provide your input data in the STDIN field.

Are statistical functions available?

Yes, all built-in statistical functions are available including mean, median, sd, cor, t.test, lm, and many others.

R Compiler