I'm fairly new to R and am having a few issues with my research. I need to compare ranked data but am a little stuck.
So, i asked a group of volunteers to rank 10 images on a scale of 1-10 (corresponding to light to dark), I then ran a computer program on the same images to generate a 1-10 rank for light to dark. I want to compare whether the computer generated rank is significantly different from the participant rank.
The problem I've got is I need to compare: participant rank vs computer rank vs black area rank vs white area rank for each image, and R says this is not a matrix so I am not very lost as to how to rectify this problem.
I would greatly appreciate any guidance and advice you can give me :)
Here is some data:
Mean_Rank_A
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
Black_Rank_A
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
White_Rank_A
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
Observered_A
3
4
4
3
5
3
3
3
5
4
3
4
3
3
3
4
3
3
3
3
4
3
6
8
3
3
5
3
3
3
The code i tried was: kruskal.test(Mean_Rank_A~Black_Rank_A~White_Rank_A~Observered_A, data = Ranking_Data)
I am sure whatever I am doing wrong is really simple, I just don't speak R very well
Thank you for all the help!