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LogoutA for loop is very valuable when we need to iterate over a list of elements or a range of numbers. Loop can be used to iterate over a list, data frame, vector, matrix or any other object. The braces and square bracket are compulsory.
For Loop Syntax and Examples
For (i in vector) { Exp }
Here,
R will loop over all the variables in vector and do the computation written inside the exp.
Let’s see a few examples.
Example 1 : We iterate over all the elements of a vector and print the current value.
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Create fruit vector fruit <- c(‘Apple’, ‘Orange’, ‘Passion fruit’, ‘Banana’) # Create the for statement for ( i in fruit){ print(i) }
Output:
[1] “Apple” ## [1] “Orange” ## [1] “Passion fruit” ## [1] “Banana”
Example 2 : creates a non-linear function by using the polynomial of x between 1 and 4 and we store it in a list
Create an empty list list <- c() # Create a for statement to populate the list for (i in seq(1, 4, by=1)) { list[[i]] <- i*i } print(list)
Output:
[1] 1 4 9 16
The for loop is very valuable for machine learning tasks. After we have trained a model, we need to regularize the model to avoid over-fitting. Regularization is a very tedious task because we need to find the value that minimizes the loss function. To help us detect those values, we can make use of a for loop to iterate over a range of values and define the best candidate.
For Loop over a list
Looping over a list is just as easy and convenient as looping over a vector. Let’s see an example
Create a list with three vectors fruit <- list(Basket = c(‘Apple’, ‘Orange’, ‘Passion fruit’, ‘Banana’), Money = c(10, 12, 15), purchase = FALSE) for (p in fruit) { print§ }
Output:
[1] “Apple” “Orange” “Passion fruit” “Banana” ## [1] 10 12 15 ## [1] FALSE
For Loop over a matrix
A matrix has 2-dimension, rows and columns. To iterate over a matrix, we have to define two for loop, namely one for the rows and another for the column.
Create a matrix mat <- matrix(data = seq(10, 20, by=1), nrow = 6, ncol =2) # Create the loop with r and c to iterate over the matrix for (r in 1:nrow(mat)) for (c in 1:ncol(mat)) print(paste(“Row”, r, “and column”,c, “have values of”, mat[r,c]))
Output: