How to usesample_frac() function in R Language
The sample_frac() function selects a random n percentage of rows from a data frame (or table). First parameter contains the data frame name, the second parameter tells what percentage of rows to select
Syntax:
(sample_frac(dataframe,n)
Where dataframe is the input dataframe and n is the fraction value
Example: R program to filter data using sample_frac() function
R
# load the package library(dplyr) # create the dataframe with three columns # id , department and salary with 8 rows data=data.frame(id=c(7058,7059,7060,7089,7072,7078,7093,7034), department=c('IT','sales','finance','IT','finance', 'sales','HR','HR'), salary=c(34500.00,560890.78,67000.78,25000.00, 78900.00,25000.00,45000.00,90000)) # display actual dataframe print(data) print("==========================") # return 2 rows print(sample_frac(data,0.2)) print("==========================") # return 4 rows print(sample_frac(data,0.4)) print("==========================") # return 7 rows print(sample_frac(data,0.7)) print("==========================") |
Output:
Filter or subsetting rows in R using Dplyr
In this article, we are going to filter the rows from dataframe in R programming language using Dplyr package.
Dataframe in use:
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