# 
## Overview
The **`filter()`** method in R is used to subset a data frame based on a provided condition. If a row satisfies the condition, it must produce `TRUE`. Otherwise, non-satisfying rows will return `NA` values. Hence, the row will be dropped.

Here listed, in the following table, are some functions and operators, used for filtering data that can be used as a breaking condition:

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## Syntax
```r
filter(.data, ...)
```
## Parameters
We'll use the following argument values:
* **`.data`**: A tibble or a lazy data frame (from `dtplyr` or  `dbplyr`).
* **`...`**: additional arguments
## Return value
It will return an instance of the same datatype as `.data`.

Yes, we can use this method for both types of data, either grouped or ungrouped. However, studies show that `filter()` method performs better on ungrouped (less data complexity) data than grouped data. Moreover, `dplyr` is not smart enough to produce 100% filtering results.

<p>Yes, we can use this method for both types of data, either grouped or ungrouped. However, studies show that <code>filter()</code> method performs better on ungrouped (less data complexity) data than grouped data. Moreover, <code>dplyr</code> is not smart enough to produce 100% filtering results.</p>


Can we use it for both grouped and ungrouped data?

<p>Can we use it for both grouped and ungrouped data?</p>


## Explanation
The code snippet below demonstrates how to use the `filter()` method in a program.

library(dplyr, warn.conflicts = FALSE)
# Creat a DataFrame
df= data.frame(x=c(2,3,4,5,7,4),
              y=c(1.1,2.1,4.5,45.1,3.2,66),
              z=c(TRUE,FALSE,TRUE,TRUE,FALSE,FALSE))
# condition to filter
filter(df, x < 5 & z==TRUE)

r-base

* Line 3: We use `data.frame()` with three features and six observations to create DataFrame.
* Line 7: We invoke the `filter()` method with filter condition `x < 5` and `z== TRUE`.

library(dplyr, warn.conflicts = FALSE)
# Create a DataFrame
df=data.frame(x= c(1,2,3,4,5),
			y= c(2.1,4.5,8.2,10.4,50),
			z= c("Aries","Taurus", "Cancer", "Leo","Libra"))
# invoking filter()
df %>% filter(z %in% c("Cancer", "Taurus"))

rr.tar.gz

 What is the filter() Method in R?

Used to subset data frames based on conditions, filter() method returns rows that satisfy given criteria in R.

Condition	Description
[`==`]	Checks equality of the column values
[`>`]	Checks for greater column values
[`>=`]	Checks for greater than or equal
[`&`]	Logical AND operation
[`\|`]	Logical OR operation
[`!`]	Logical NOR operation
`[xor()]`	Logical XOR operation
`[is.na()]`	Either value is NA or not
`[between()]`	Checks whether the numerical value(Column value) lies between the specified range or not.
`[near()]`	Compares numerical vector to nearest values.

What is the filter() Method in R?

Overview

Syntax

Parameters

Return value

Explanation

Using %in%operator

Using `%in%`operator