In data analysis you can sort your data according to a certain variable in the dataset. In R, we can use the help of the function order(). In R, we can easily sort a vector of continuous variable or factor variable. Arranging the data can be of ascending or descending order.
Syntax:
sort(x, decreasing = FALSE, na.last = TRUE):
Argument:
x: A vector containing continuous or factor variable
decreasing: Control for the order of the sort method. By default, decreasing is set to FALSE.
last: Indicates whether the NA 's value should be put last or not
Example 1
For instance, we can create a tibble data frame and sort one or multiple variables. A tibble data frame is a new approach to data frame. It improves the syntax of data frame and avoid frustrating data type formatting, especially for character to factor. It is also a convenient way to create a data frame by hand, which is our purpose here.
library(dplyr)
set.seed(1234)
data_frame <- tibble(
c1 = rnorm(50, 5, 1.5),
c2 = rnorm(50, 5, 1.5),
c3 = rnorm(50, 5, 1.5),
c4 = rnorm(50, 5, 1.5),
c5 = rnorm(50, 5, 1.5)
)
Sort by c1
df <-data_frame[order(data_frame$c1),]
head(df)
Output:
A tibble: 6 x 5
c1 c2 c3 c4 c5
1 1.481453 3.477557 4.246283 3.686611 6.0511003
2 1.729941 5.824996 4.525823 6.753663 0.1502718
3 2.556360 6.275348 2.524849 6.368483 5.4787404
4 2.827693 4.769902 5.120089 3.743626 4.0103449
5 2.988510 4.395902 2.077631 4.236894 4.6176880
6 3.122021 6.317305 5.413840 3.551145 5.6067027
Example 2
Sort by c3 and c4
df <-data_frame[order(data_frame$c3, data_frame$c4),]
head(df)
Output:
A tibble: 6 x 5
c1 c2 c3 c4 c5
1 2.988510 4.395902 2.077631 4.236894 4.617688
2 2.556360 6.275348 2.524849 6.368483 5.478740
3 3.464516 3.914627 2.730068 9.565649 6.016123
4 4.233486 3.292088 3.133568 7.517309 4.772395
5 3.935840 2.941547 3.242078 6.464048 3.599745
6 3.835619 4.947859 3.335349 4.378370 7.240240
Example 3
Sort by c3(descending) and c4(acending)
df <-data_frame[order(-data_frame$c3, data_frame$c4),]
head(df)
Output: