Basic Filter Operation

Introduction

Filter in tidyverse allows you to subset dataframe based on specified conditions. Filter operation has the following syntax:

filter(<dataframe>, <conditions>)

filter() only includes rows where the condition is TRUE; it excludes both FALSE and NA values. The operation of filtering does not modify the current input, instead it returns a new dataframe which is a result of the operation performed.

Procedure

We will be working with the nycflights13::flights dataset, few rows of the data are:

flights

We want to filter rows based on flights which are on 1st January, thus dataframe is flights and condition is month == 1, day == 1.

Code

 
library(dplyr)
library(nycflights13)

# filter flights for 1st January
result <- filter(flights, month == 1, day == 1)
View(result)

And the output of above code is:

basic filter

Conclusion

Thus we have successfully implemented basic filter in tidyverse.

References

https://r4ds.had.co.nz/