Good morning,
I am using amelia II on mass spec data, in order to deal with missing
values. I have two questions:
1) my experimental setup is as follows: the intensities of the same
proteins were measured in ctrl, condition 1, condition2, condition3,
condition4. This model implies that certain proteins might not be present
at all in a certain condition, while being present in several other
conditions. hence, I don not want amelia to impute these values. In other
words, I want amelia to only impute WITHIN conditions. At least this is the
way I though of this problem and I sub-devided the data frame into 5,
according to conditions, and fed amelia each condition separately.
Is this approach OK?
2) I perform m=10 imputations, and fit each imputed data set to a linear
model, hence I get 10 slightly different outputs. In R, what is the best
way to pool the results of m data sets?
Thank you very much for your help, I appreciate it.
Have a good New Years!!
Regards,
Elisa