How to check if values in a column of an R data frame are increasingly ordered or not?

The values are increasingly ordered if the first value is less than the second, the second is less than the third, the third is less than the fourth, the fourth is less than the fifth, and so on. In base R, we have a function called is.unsorted that can help us to determine whether the values in a column of an R data frame are increasingly ordered or not. Check out the below examples to understand how it works.

Example1

Live Demo

> set.seed(3257)
> x<-rpois(20,8)
> df1<-data.frame(x)
> df1

Output

  x
1 9
2 8
3 8
4 7
5 10
6 2
7 7
8 7
9 7
10 9
11 10
12 6
13 9
14 9
15 9
16 11
17 12
18 8
19 10
20 12

Example

> is.unsorted(df1$x)

Output

[1] TRUE

Example2

Live Demo

> y<-rnorm(20,1,0.5)
> df2<-data.frame(y)
> df2

Output

      y
1 0.5731483
2 1.2753959
3 1.3351612
4 1.9271030
5 1.0375696
6 0.4298899
7 1.2225022
8 0.8681973
9 0.8746253
10 1.4602984
11 0.4892610
12 1.4181656
13 0.4254027
14 0.9397925
15 -0.1129803
16 1.2659725
17 1.2444735
18 1.6010428
19 0.1310723
20 0.2720108

Example

> is.unsorted(df2$y)

Output

[1] TRUE

Example3

Live Demo

> z<-runif(20,2,5)
> df3<-data.frame(z)
> df3

Output

     z
1 4.426558
2 2.405967
3 2.294161
4 4.629669
5 3.286604
6 4.836352
7 4.003845
8 2.456922
9 2.374872
10 3.216140
11 4.987071
12 4.713011
13 3.014407
14 2.792747
15 3.951100
16 3.023335
17 3.129816
18 3.688158
19 2.078943
20 2.323125

Example

> is.unsorted(df3$z)

Output

[1] TRUE