[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] "dataframe rows to a list:"
$`1`
name score attempts qualify
1 Anastasia 12.5 1 yes
$`2`
name score attempts qualify
2 Dima 9 3 no
$`3`
name score attempts qualify
3 Katherine 16.5 2 yes
$`4`
name score attempts qualify
4 James 12 3 no
$`5`
name score attempts qualify
5 Emily 9 2 no
$`6`
name score attempts qualify
6 Michael 20 3 yes
$`7`
name score attempts qualify
7 Matthew 14.5 1 yes
$`8`
name score attempts qualify
8 Laura 13.5 1 no
$`9`
name score attempts qualify
9 Kevin 8 2 no
$`10`
name score attempts qualify
10 Jonas 19 1 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] "dataframe rows to a list:" $`1` name score attempts qualify 1 Anastasia 12.5 1 yes $`2` name score attempts qualify 2 Dima 9 3 no $`3` name score attempts qualify 3 Katherine 16.5 2 yes $`4` name score attempts qualify 4 James 12 3 no $`5` name score attempts qualify 5 Emily 9 2 no $`6` name score attempts qualify 6 Michael 20 3 yes $`7` name score attempts qualify 7 Matthew 14.5 1 yes $`8` name score attempts qualify 8 Laura 13.5 1 no $`9` name score attempts qualify 9 Kevin 8 2 no $`10` name score attempts qualify 10 Jonas 19 1 yesneed an explanation for this answer? contact us directly to get an explanation for this answer