R Tutorial
Fundamentals of R
Variables
Input and Output
Decision Making
Control Flow
Functions
Strings
Vectors
Lists
Arrays
Matrices
Factors
DataFrames
Object Oriented Programming
Error Handling
File Handling
Packages in R
Data Interfaces
Data Visualization
Statistics
Machine Learning with R
R does not have a traditional goto
statement as is found in some other languages like C or Fortran. In most modern programming languages, the use of goto
is discouraged, as it can lead to code that's hard to understand and maintain, often termed "spaghetti code."
However, if you are looking to implement a form of program control, R provides several constructs, including loops (for
, while
, repeat
) and conditional statements (if
, else
), which should meet most needs.
For example:
for (i in 1:5) { print(i) }
x <- 5 if (x > 3) { print("x is greater than 3") } else { print("x is less than or equal to 3") }
next
statement for loop control:
The next
statement can be used within loops to skip an iteration.for (i in 1:5) { if (i == 3) next print(i) }
break
statement for loop control:
The break
statement can be used to exit a loop entirely.for (i in 1:5) { if (i == 4) break print(i) }
repeat
loop with break
:
This is the closest you'll get to a traditional goto
, but it's more structured.repeat { x <- sample(1:10, 1) print(x) if (x == 7) { break } }
If you have a specific problem or need that you believe requires a goto
-like solution, perhaps there's an idiomatic way to solve it in R that's both clean and efficient. It's always a good idea to describe the problem you're trying to solve, as there might be a more appropriate R-based solution.