Method Using subset() function
When the analyst is aware of row names and column names then subset() method is used. Simply, This function is used when we want to derive a subset of a dataframe based on implanting some conditions on rows and columns of the dataframe. This method is more efficient and easy to use than the Index method.
Syntax: subset(dataframe,rows_condition,column_condition)
Example: Extract names of students belonging to section1
R
subset_2=subset(student_details,section==1,stud_name)print(subset_2) |
Output:
How to select a subset of DataFrame in R
In general, when we were working on larger dataframes, we will be only interested in a small portion of it for analyzing it instead of considering all the rows and columns present in the dataframe.
Creation of Sample Dataset
Let’s create a sample dataframe of Students as follows
R
student_details < -data.frame( stud_id=c(1: 10), stud_name=c("Anu", "Abhi", "Bob", "Charan", "Chandu", "Daniel", "Girish", "Harish", "Pandit", "Suchith"), age=c(18, 19, 17, 18, 19, 15, 21, 16, 15, 17), section=c(1, 2, 1, 2, 1, 1, 2, 1, 2, 1))print(student_details) |
Output: