On 17.01.2012 12:31, Irek Szczesniak wrote:
Hi, I have the simulation results of the following structure: run par measured 1 10 12 2 10 14 1 20 20 2 20 26 Where "run" is the simulation run number, "par" is the parameter of the simulation, and "measured" is the value measured in the simulation. This is only a simple example of my results. There are many values measured and many parameters. But the basic structure stays the same: there are many runs (identified by the run number) for the same values of the parameters with various measured values -- they constitute a sample. I would like to calculate the mean of the "measured" value for a sample, and so I would like to obtain the output as follows: par mean 10 13 20 23 I would appreciate it if someone could write me how to do it.
For you data in a data.frame called dat: aggregate(measured ~ par, dat, mean) Uwe Ligges
Thank you, Irek ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
