[1] "Original dataframe:"
name score attempts qualify
1 Anastasia 12.5 1 yes
2 Dima 9.0 3 no
3 Katherine 16.5 2 yes
4 James 12.0 3 no
5 Emily 9.0 2 no
6 Michael 20.0 3 yes
7 Matthew 14.5 1 yes
8 Laura 13.5 1 no
9 Kevin 8.0 2 no
10 Jonas 19.0 1 yes
[1] "Reorder by column name:"
name attempts score qualify
1 Anastasia 1 12.5 yes
2 Dima 3 9.0 no
3 Katherine 2 16.5 yes
4 James 3 12.0 no
5 Emily 2 9.0 no
6 Michael 3 20.0 yes
7 Matthew 1 14.5 yes
8 Laura 1 13.5 no
9 Kevin 2 8.0 no
10 Jonas 1 19.0 yes
Sample Output:
[1] "Original dataframe:" name score attempts qualify 1 Anastasia 12.5 1 yes 2 Dima 9.0 3 no 3 Katherine 16.5 2 yes 4 James 12.0 3 no 5 Emily 9.0 2 no 6 Michael 20.0 3 yes 7 Matthew 14.5 1 yes 8 Laura 13.5 1 no 9 Kevin 8.0 2 no 10 Jonas 19.0 1 yes [1] "Reorder by column name:" name attempts score qualify 1 Anastasia 1 12.5 yes 2 Dima 3 9.0 no 3 Katherine 2 16.5 yes 4 James 3 12.0 no 5 Emily 2 9.0 no 6 Michael 3 20.0 yes 7 Matthew 1 14.5 yes 8 Laura 1 13.5 no 9 Kevin 2 8.0 no 10 Jonas 1 19.0 yesneed an explanation for this answer? contact us directly to get an explanation for this answer