Displaying 2 results from an estimated 2 matches for "blockord".
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blocked
2013 Feb 25
1
creating variable that codes for the match/mismatch between two other variables
...) {
# if there is a match, mydat$match[i] = 1 if (mydat$Stimulus[i] == mydat$Prediction[i]) {
mydat$match = 1
# the next to conditions refer to blocks without prediction recording. Therefore, the corresponding trials are coded with mydat$match[i] = 7. } else if (mydat$BlockOrder[i] == 1 & mydat$Block_nr[i] == 1) {
mydat$match = 7
} else if (mydat$BlockOrder[i] == 2 & mydat$Block_nr[i] == 4) {
mydat$match == 7
}
}
# The corresponding dataframe structure:
str(mydat)
'data.frame': 9302 obs. of 18 variables...
2009 Apr 01
1
Help with mixed-effects model with temporal pseudoreplication!
...mes. The design of the experiment is as
follows...
Responses:
CompletionTIme
VisitedTargets
Fixed-factors:
Targets (4-levels): 4, 9, 14, 19
Entropy (3-levels): Low, Medium, High
Random-factors:
Participants: 31 total participants
Replicates: 5 (this could also be viewed as a time factor I think)
BlockOrder: 1 though 60 (the order of the trials was random for each
participant, but I am not so concerned about this right now)
The fixed part of the model seems pretty intuitive:
fixed=log(CompletionTime)~(Targets*Entropy)
The random part of the model is where I get stuck on, I've tried many
combin...