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The R code will be generated here: 

About R Programming Language

R is a versatile, open-source programming language and software environment, prominent in the fields of data mining, statistical computing, data analysis, and graphical visualization. R consists of an extensive collection of packages contributed by the open-source community, which extends its functionalities. It supports a wide range of data structures such as vectors, matrices, data frames, and lists allowing users to work with diverse datasets efficiently.

How to use our R code generator?

This free tool helps you generate R code based on your instructions with just a single click of a button. To use our tool, follow these steps:-
    1. Enter your prompt, for example, "Check if a string is palindrome in R".
    2. Click on "Generate."
    3. You will see the resulting R code in the output box.

Examples of some R code generated by our AI tool

Below are some examples generated by our R code generator. Please note that you might not receive the same code, as it is generated by an AI model that provides different answers every time and updates periodically.
User Prompt:
Count words in a string
count_words <- function(string) {
    return(length(unlist(strsplit(string, "\\s+"))))

sentence <- "R is a programming language for statistical computing and graphics"
print(paste("Number of words in the sentence:", count_words(sentence)))
User Prompt:
Write a function in R called word_frequency that takes a character vector text as input and returns a data frame containing the frequency of each unique word in the text along with their counts. The function should ignore case sensitivity and punctuation.
word_frequency <- function(text) {
  # Convert text to lowercase and remove punctuation
  cleaned_text <- tolower(gsub("[[:punct:]]", "", text))
  # Split text into words
  words <- unlist(strsplit(cleaned_text, "\\s+"))
  # Calculate word frequencies
  word_counts <- table(words)
  # Convert word counts to data frame
  word_freq_df <- as.data.frame(word_counts)
  names(word_freq_df) <- c("Word", "Frequency")
  # Order data frame by frequency in descending order
  word_freq_df <- word_freq_df[order(-word_freq_df$Frequency), ]

# Example usage:
text <- "R is a programming language for statistical computing and graphics. It is widely used among statisticians and data miners for developing statistical software and data analysis."
word_freq <- word_frequency(text)
User Prompt:
Take a square matrix as an input and return sum of diagonal elements
matrix_diagonal_sum <- function(mat) {
  n <- nrow(mat)
  if (n != ncol(mat)) {
    stop("Input matrix must be square.")
  diagonal_sum <- sum(diag(mat))

# Example usage:
matrix <- matrix(1:9, nrow = 3)
diagonal_sum <- matrix_diagonal_sum(matrix)
print(paste("Sum of elements on main diagonal:", diagonal_sum))
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