# representative baseline for time series-like data

I have data for several individuals that takes the following form over time. Many individuals are flat over the course of a year, meaning their measurements stay roughly the same. Others have a peak or two and are then flat. And others have many peaks. For each individual I must find an average (representative) value that is not influenced by the peaks. For example, the overall average will not be a good measure because if an individual has several peaks, this will increase the average. Overall, I need an estimate of the baseline for each individual that is not influenced by the number of peaks an individual has.

• Hi Julieth, I want to know how does you solved this. I have the same issue as posted on datascience.stackexchange.com/q/11973/13291 May 28 '16 at 9:43
• "For example, the overall average will not be a good measure because if an individual has several peaks, this will increase the average." This is precisely why I think the average is a good summary measure. If it's blood pressure, those "peaks" let doctors know you have hypertension. Jan 9 '20 at 14:43
• If you provide a couple of plots of the time series and the values that you want to get out, it is easier for people to give you good answers. Sep 10 '20 at 20:35