I have a data set that includes the identity of a number of Video Coders
who scored participants' behaviors in a video. Every participant was scored
once, but some participants were randomly assigned to have their data
scored twice so I could calculate inter-rater reliabilities. I have
completed the reliability analyses and want to use the average score for
participants who had their behavior coded twice. I'd like to create a 'for
loop' or function that allows me to calculate these column means
iteratively because the number of observations is quite large (*N* =
168). Given the organization of the data, with some participants on
multiple rows, I am not sure how to proceed.
The original data looks something like this:
Participant ID Video Coder Score
Observation A 1 Donald 4
Observation B 1 Tracy 5
Observation C 2 Donald 6
Observation D 3 Sam 2
Observation E 3 Tracy 3
Observation F 4 Donald 2
Observation G 4 Tracy 1
Observation H 5 Sam 8
When the data processing is completed, I would like the new data set to
look like this:
Participant ID Score
1 4.5
2 6
3 2.5
4 1.5
5 8
Any tips or suggestions would be appreciated.
Kind regards,
Chad
--
Chad M. Danyluck, MA
PhD Candidate, Psychology
University of Toronto
“There is nothing either good or bad but thinking makes it so.” - William
Shakespeare
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