Control flow statements: if-else statements, for loops, while loops in R

In R, you can use various control flow statements, including if-else statements, for loops, and while loops. Here are some examples:

## if-else statements
# Generate some data
set.seed(123)
x <- rnorm(1) # Use an if-else statement to check if x is positive or negative if (x > 0) {
print(“x is positive”)
} else {
print(“x is negative or zero”)
}

In this code, we first generate some data using the `rnorm()` function. We then use an if-else statement to check if `x` is positive or negative. If `x` is positive, the first code block is executed (printing “x is positive”), and if `x` is negative or zero, the second code block is executed (printing “x is negative or zero”).

## for loops
# Generate some data
set.seed(123)
x <- rnorm(10) # Use a for loop to calculate the sum of x sum_x <- 0 for (i in 1:length(x)) { sum_x <- sum_x + x[i] } print(sum_x) In this code, we first generate some data using the `rnorm()` function. We then use a for loop to calculate the sum of `x`. The loop iterates over each value of `i` from 1 to the length of `x`, adding each element of `x`to the running total `sum_x`. Finally, we print the sum of `x` by printing the value of `sum_x`. ## while loops # Generate some data set.seed(123) x <- rnorm(1) # Use a while loop to find the first time that x is greater than 2 i <- 0 while (x < 2) { i <- i + 1 x <- rnorm(1) } print(paste("x is greater than 2 after", i, "iterations")) In this code, we first generate some data using the `rnorm()` function. We then use a while loop to find the first time that `x` is greater than 2. The loop iterates until `x` is greater than 2, incrementing `i` by 1 each time and generating a new value of `x` with `rnorm(1)`. Once the loop terminates, we print a message indicating the number of iterations it took for `x` to be greater than 2. Note that there are many other types of control flow statements available in R, including repeat loops and break statements. You can find more information on these statements in the R documentation or online tutorials and resources.