The **`arrange()`** function in R programming is used to reorder the rows of a data frame/table by using column names. These columns are passed as the expression in the function.
# 
## Syntax
The code below uses the `arrange()` function to arrange a data frame with the `dplyr` library:

---
```r
arrange(.data, …)
```
---

The code below uses the `arrange()` function for a grouped data frame:

---
```r
arrange(.data, …, .by_group= FALSE)
```
---

## Parameters
* `.data`: The data or table that we want to arrange.
* `.group_by`: If set to `true`, `.group_by` will arrange by grouping the variables. This parameter only relates to grouped data frames.
* `…`: The list of variables, separated by a comma.

## Example 1
In line 4, we create a data frame `df` that contains fruit names. The `quantity_in_kgs` vector represents the quantity of the fruit. We can use the `arrange()` function to arrange the fruit names according to their quantities.

# Load the library
library(dplyr)
# Creating the data frame 
df <- data.frame( fruits = c("Apples", "Mangoes", "Bananas", "Oranges"),  
quantity_in_kgs = c(8, 3, 12, 10) )
# Arrange the data of fruits using quantity_in_kgs
df.fruits<- arrange(df, quantity_in_kgs) 
print(df.fruits)


#   
## Example 2
In the code snippet below, we arrange the data frame according to weight. To achieve this goal, we load the `PlantGrowth` dataset in `y` and use the `head()` method to get the first 6 rows in `z`. In line 11, we arrange plant _groups_ according to their _weights_.


# arrange() function to reorder the dataset in R program.
# Load the library
library(dplyr)
# Call the buildin dataset
y <- PlantGrowth
# get head values 6 rows
z<- head(y)
# print values.
print(z)
# Call the function: arrange() 
arrange(z, weight)


What is the arrange() function in R?

The `arrange()` function in R reorders data frame rows using column names, supporting group-by operations.