Convert Perl to R using AI

Source-to-source code translation from Perl using AI involves utilizing natural language processing (NLP) techniques and machine learning algorithms to analyze and understand source code

Features

FAQ

Translation Challenges

Translation Problem Perl Syntax Example R Syntax Example Score (1-10)
Variable Declaration $var = 10; var <- 10 3
Regular Expressions $string =~ /pattern/; grepl("pattern", string) 5
Array Manipulation @array = (1, 2, 3); array <- c(1, 2, 3) 2
Hashes (Dictionaries) %hash = ('key' => 'value'); hash <- list(key = 'value') 4
Control Structures if ($condition) { ... } if (condition) { ... } 2
Subroutines sub func { ... } func <- function() { ... } 3
Object-Oriented Programming package MyClass { ... } MyClass <- setRefClass("MyClass") 6
Context Sensitivity $var = 10; print $var; var <- 10; print(var) 4
File Handling open(FILE, "<", "file.txt"); file <- file("file.txt", "r") 5
Exception Handling eval { ... }; tryCatch({ ... }, error = function(e) { ... }) 7

Variable Declaration

In Perl, variables are declared with a $ for scalars, @ for arrays, and % for hashes. For example:

$var = 10;

In R, variables are declared using <- or =:

var <- 10

Reference: Perl Variable Declaration, R Variable Assignment

Regular Expressions

Perl uses the =~ operator for regex matching:

$string =~ /pattern/;

In R, the grepl function is used for similar functionality:

grepl("pattern", string)

Reference: Perl Regular Expressions, R Regular Expressions

Array Manipulation

In Perl, arrays are defined with @:

@array = (1, 2, 3);

In R, arrays are created using the c() function:

array <- c(1, 2, 3)

Reference: Perl Arrays, R Vectors

Hashes (Dictionaries)

Perl uses % to define hashes:

%hash = ('key' => 'value');

In R, lists can be used to create similar structures:

hash <- list(key = 'value')

Reference: Perl Hashes, R Lists

Control Structures

Control structures in Perl use if, else, and elsif:

if ($condition) { ... }

In R, the syntax is similar:

if (condition) { ... }

Reference: Perl Control Structures, R Control Structures

Subroutines

Subroutines in Perl are defined using sub:

sub func { ... }

In R, functions are defined using the function keyword:

func <- function() { ... }

Reference: Perl Subroutines, R Functions

Object-Oriented Programming

Perl uses packages for OOP:

package MyClass { ... }

In R, object-oriented programming can be done using setRefClass:

MyClass <- setRefClass("MyClass")

Reference: Perl OOP, R OOP

Context Sensitivity

Perl's context sensitivity can lead to different behaviors:

$var = 10; print $var;

In R, the context is less ambiguous:

var <- 10; print(var)

Reference: Perl Context, R Print Function

File Handling

In Perl, file handling is done with the open function:

open(FILE, "<", "file.txt");

In R, file connections are created using the file function:

file <- file("file.txt", "r")

Reference: Perl File Handling, R File Connections

Exception Handling

Perl uses eval for exception handling:

eval { ... };

In R, tryCatch is used:

tryCatch({ ... }, error = function(e) { ... })

Reference: Perl Exception Handling, R Exception Handling