How to append output from a for loop to a dataframe in R?
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How to append output from a for loop to a dataframe in R?

How to append output from a for loop to a dataframe in R?

This recipe helps you append output from a for loop to a dataframe in R

0

Recipe Objective

Loops are an important feature in R-language. It helps us to iterate through vectors, lists and process required functions to its elements. They help us to implement complex logic which requires a repetitive step. ​

In this recipe, we will demonstrate how to use a for loop to append it's output in a dataframe as rows using rbind() function. ​

rbind() function combines the rows of two dataframes of equal length. Here, the second dataframe will have all the content of every row that will be appended after each iteration in a for loop. ​

Steps to be follow are: ​

  1. Defining an empty dataframe
  2. Defining a for loop with iterations equal to the no of rows we want to append.
  3. Using rbind() to append the output of one iteration to the dataframe
Syntax:

df = data.frame()

for (i in vector_indicating_no of observations){

output = [output of one iteration]

df = rbind(df, output)

}

Example:

Create a dataframe of 30 rows with each row corresponding to the following vector of 3 elements(indicating columns): ​

(i^3+3, i^2+2, i+1) ; where: i is the corresponding row number ​

# Defining an empty dataframe df = data.frame() # Defining a for loop with 30 iterations for (i in 1:30) { output = c(i^3+3, i^2+2, i+1) # Using rbind() to append the output of one iteration to the dataframe df = rbind(df, output) } # naming the columns colnames(df)<-c("1st element", "2nd element", "3rd element") # printing the dataframe df ​
   1st element 2nd element 3rd element
1            4           3           2
2           11           6           3
3           30          11           4
4           67          18           5
5          128          27           6
6          219          38           7
7          346          51           8
8          515          66           9
9          732          83          10
10        1003         102          11
11        1334         123          12
12        1731         146          13
13        2200         171          14
14        2747         198          15
15        3378         227          16
16        4099         258          17
17        4916         291          18
18        5835         326          19
19        6862         363          20
20        8003         402          21
21        9264         443          22
22       10651         486          23
23       12170         531          24
24       13827         578          25
25       15628         627          26
26       17579         678          27
27       19686         731          28
28       21955         786          29
29       24392         843          30
30       27003         902          31

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