How to manipulate the “extend” function in simr
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I have a question that I'm hoping someone here may be able to answer. I'm using the "simr" package to do an a priori power analysis for my lmer model. One little hiccup- we have a pretty large attrition rate in our pilot data (what we are basing the simulation off of) that we aren't expecting in our actual study. Specifically there was a large attrition rate in the second treatment session due to a technical issue. When I use the "extend" function, it seems to be extending the data based on the attrition rate in the second session. (ie. if I have 10 participants who came in for the first session, we lost two of them in the second, and then had 10 again in the third, and I model it to 20 participants, instead of giving me 60 rows of data, it gives me 56) Does anyone have any idea as to how one might fix this?
Right now this is my code:
model2 <- extend(model1, along = "Subject", n = 20)
Is there a way to specify specifically how many subjects I want in each Session?
r
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I have a question that I'm hoping someone here may be able to answer. I'm using the "simr" package to do an a priori power analysis for my lmer model. One little hiccup- we have a pretty large attrition rate in our pilot data (what we are basing the simulation off of) that we aren't expecting in our actual study. Specifically there was a large attrition rate in the second treatment session due to a technical issue. When I use the "extend" function, it seems to be extending the data based on the attrition rate in the second session. (ie. if I have 10 participants who came in for the first session, we lost two of them in the second, and then had 10 again in the third, and I model it to 20 participants, instead of giving me 60 rows of data, it gives me 56) Does anyone have any idea as to how one might fix this?
Right now this is my code:
model2 <- extend(model1, along = "Subject", n = 20)
Is there a way to specify specifically how many subjects I want in each Session?
r
add a comment |
I have a question that I'm hoping someone here may be able to answer. I'm using the "simr" package to do an a priori power analysis for my lmer model. One little hiccup- we have a pretty large attrition rate in our pilot data (what we are basing the simulation off of) that we aren't expecting in our actual study. Specifically there was a large attrition rate in the second treatment session due to a technical issue. When I use the "extend" function, it seems to be extending the data based on the attrition rate in the second session. (ie. if I have 10 participants who came in for the first session, we lost two of them in the second, and then had 10 again in the third, and I model it to 20 participants, instead of giving me 60 rows of data, it gives me 56) Does anyone have any idea as to how one might fix this?
Right now this is my code:
model2 <- extend(model1, along = "Subject", n = 20)
Is there a way to specify specifically how many subjects I want in each Session?
r
I have a question that I'm hoping someone here may be able to answer. I'm using the "simr" package to do an a priori power analysis for my lmer model. One little hiccup- we have a pretty large attrition rate in our pilot data (what we are basing the simulation off of) that we aren't expecting in our actual study. Specifically there was a large attrition rate in the second treatment session due to a technical issue. When I use the "extend" function, it seems to be extending the data based on the attrition rate in the second session. (ie. if I have 10 participants who came in for the first session, we lost two of them in the second, and then had 10 again in the third, and I model it to 20 participants, instead of giving me 60 rows of data, it gives me 56) Does anyone have any idea as to how one might fix this?
Right now this is my code:
model2 <- extend(model1, along = "Subject", n = 20)
Is there a way to specify specifically how many subjects I want in each Session?
r
r
asked Jan 3 at 22:12
SBLSBL
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