# R : Create Sample / Dummy Data

#### Live Online Training :Data Science with R - Explain Advanced Algorithms in Simple English - Live Projects - Case Studies - Job Placement Assistance - Get 10% off till Oct 26, 2017 - Batch starts from October 28, 2017

This tutorial explains how to create sample / dummy data. It is very useful to know how we can build sample data to practice R exercises. 'Sample/ Dummy data' refers to dataset containing random numeric or string values which are produced to solve some data manipulation tasks. For example, you want to learn how to apply logical conditions (IF ELSE) in R. To gain practical experience, it is important to practice it with sample datasets.

Method 1 : Enter Data Manually

The simplest method is to type data values in R editor and submit it. See the example below. The program below creates 3 variables - ID, var1 and var2. The name of data frame would be df1.
df1 <- data.frame(ID = c(1, 2, 3, 4, 5),
var1 = c('a', 'b', 'c', 'd', 'e'),
var2 = c(1, 1, 0, 0, 1))
 Sample Data in R
Note : Since var1 is a character variable, it is entered in a single quote.

Method 2 : Sequence of numbers, letters, months and random numbers
1. seq(1, 16, by=2) - sequence of numbers from 1 to 16 increment by 2.
2. LETTERS[1:8] - the 8 upper-case letters of the english alphabet.
3. month.abb[1:8] - the three-letter abbreviations for the first 8 English months
4. sample(10:20, 8, replace = TRUE) - 8 random numbers with replacement from 10 to 20.
5. letters[1:8] - the 8 lower-case letters of the english alphabet.
df2 <- data.frame(a = seq(1,16,by=2), b = LETTERS[1:8], x= month.abb[1:8], y = sample(10:20,8, replace = TRUE), z=letters[1:8])
 Sequence / Random Values in R

Method 3 : Create numeric grouping variable
df3 = data.frame(X = sample(1:3, 15, replace = TRUE))
It returns 15 random values with replacement from 1 to 3.

Method 4 : Random Numbers with mean 0 and std. dev 1
set.seed(1)
df4 <- data.frame(Y = rnorm(15), Z = ceiling(rnorm(15)))

Method 5 : Create binary variable (0/1)
set.seed(1)
ifelse(sign(rnorm(15))==-1,0,1)
In the code above, if sign of a random number is negative, it returns 0. Otherwise, 1.

Method 6: Copy Data from Excel to R

Method 7: Create character grouping variable
mydata = sample(LETTERS[1:5],16,replace = TRUE)
It returns random 16 characters having alphabets ranging from "A" to "E".

#### R Tutorials : 75 Free R Tutorials

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has close to 7 years of experience in data science and predictive modeling. During his tenure, he has worked with global clients in various domains like retail and commercial banking, Telecom, HR and Automotive.

While I love having friends who agree, I only learn from those who don't.

Let's Get Connected: Email | LinkedIn

### 6 Responses to "R : Create Sample / Dummy Data"

1. Hi ,
Could you please tell me what's exactly happening in "Create binary variable (0/1):" I could understand the syntax

1. If sign of a random number is negative, it returns 0. Otherwise, 1.

2. hi
fine thanks

3. Nice Work Deepanshu, your tutorial are very good short and crisp.

4. Bhalla saab... Bas maja aa gaya. I have actually bookmarked it as one of my favorites.

Next → ← Prev