One more thing, I am thinking of what the codes should be if the response variable is not continuous (e.g., weight) but binary (e.g., event present). In this case, individuals are repeatedly measured to collect their status of the binary response variable and we would like to have a similar series graph. The x-axis remains the sequence of the repeated measurement, but the y-axis represent the risk (i.e., proportion) for the event to occur, along with its confidence interval.
Many thanks.
Tom
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