How to use Sample_n() function In R Language
Sample_n() function is used to select n random rows from a dataframe in R. This is one of the widely used functions of the R programming language as this function is used to test the various user build models for prediction and for accuracy purposes.
Syntax: sample_n(tbl, size, replace, fac, …)
Parameters:
- tbl: a Momocs object (Coo, Coe)
- size: numeric how many shapes should we sample
- replace: logical whether the sample should be done with or without replacement
- fac: a column name if a $fac is defined; size is then applied within levels of this factor
- …: additional arguments to dplyr::sample_n and to maintain generic compatibility
Return:
This function will be returning the random samples from the provided data of size n.
Example: R program to generate random sample using sample_n()
R
library(dplyr) gfg_data <- iris sample_n(gfg_data,10) |
Output:
Select Random Samples in R using Dplyr
In this article, we will be looking at different methods for selecting random samples from the Dplyr package of the R programming language.
To install and import the Dplyr package in the R programming language, the user needs to follow the syntax:
Syntax:
install.packages(“dplyr”)
library(dplyr)