I am very new to linear mixed effect models, but know I will need them to deal with some of my data. I'm having a hard time finding the exact model to pick and extracting the information from them, hence my post here.
I am trying to model the data below using R and lme4. In this experiment a certain parameter was measured over time in two distinct conditions (called WT and KO here). This experiment was repeated three times per condition on different subjects (biological replicates) and for each subject, the measurement was done multiple times (technical replicates). In other words, each data point is defined a set of 4 values (Experiment, Condition, Time, Measurement).
What I would like to know is:
- Is there a different time dependence of the measurements for condition WT and KO?
- What is the corresponding p-value of this difference?
- What are the model corrected time slopes and their standard errors for condition WT and KO respectively?
I would really appreciate some help, preferably using lme4 notation. Many thanks!