CODEWITHSUNDEEP
rglm
Harry Steinharter
Harry Steinharter

Reputation: 1

Weight argument GLM in R

I have a psychophysics experiment and I am measuring whether psrticipants can or cannot see the stimulus based on contrast.

I have two options for my logistics regression. 1) use the raw data (0s and 1s) to indicate whether they did or did not see the stimulus.

However, the paper i am basing my analysis on runs the binomial (probit) GLM on transformed data that takes into account false-posutive rate. So option 2) is to follow that paper and have the outcome variable between vales between 0 and 1.

I then have many less data points because they get collapsed based on stimulus parameters to give the transformed outcome variable.

So the question is: can I use the weights argument in R's GLM to specify how many trials are represented by each indivual transformed data point?

Sorry for the long explanation, but I thought some background would be relevant.

I have already tried both options, as well as using the transformed outcome variable without weights, and they all yield different results.

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