Re: [R] Mean of simulation runs given in a table
Thank you, William, for your help! It works great. My final call looks like this: pars - c(.(nodes), .(load), .(buffer), .(deflections)) ddply(i, pars, summarize, mm_created = mean(mean_created), ms_created = mean(sdev_created), mm_admitted = mean(mean_admitted), ms_admitted = mean(sdev_admitted), mm_dropped = mean(mean_dropped), ms_dropped = mean(sdev_dropped), mm_delivered = mean(mean_delivered), ms_delivered = mean(sdev_delivered)) 2012/1/18 William Dunlap wdun...@tibco.com: Try using the function in the plyr package. E.g., z - data.frame( # your toy dataset run = c(1, 2, 1, 2), par = c(10, 10, 20, 20), measured = c(12, 14, 20, 26)) library(plyr) ddply(z, .(par), summarize, meanMeasured=mean(measured), sdMeasured=sd(measured)) par meanMeasured sdMeasured 1 10 13 1.414214 2 20 23 4.242641 Bill Dunlap Spotfire, TIBCO Software wdunlap tibco.com -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Ireneusz Szczesniak Sent: Tuesday, January 17, 2012 2:43 PM To: r-help@r-project.org Subject: Re: [R] Mean of simulation runs given in a table Thank you, Uwe, for your help! I have more measurements (m1, m2) and more parameters (par1, par2). I can calculate the means of m1 and m2 this way: aggregate(cbind(m1, m2) ~ par1 + par2, dat, mean) However, I also need to calculate the standard error of the mean, and the variance for the sample, and I would like to have them output as extra columns next to the column with means. Again, I would appreciate any help! On 17.01.2012 15:09, Uwe Ligges wrote: 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. -- Ireneusz (Irek) Szczesniak http://www.irkos.org __ 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.
[R] Mean of simulation runs given in a table
Hi, I have the simulation results of the following structure: run par measured 1 1012 2 1014 1 2020 2 2026 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. 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.
Re: [R] Mean of simulation runs given in a table
On 17.01.2012 12:31, Irek Szczesniak wrote: Hi, I have the simulation results of the following structure: run par measured 1 1012 2 1014 1 2020 2 2026 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.
Re: [R] Mean of simulation runs given in a table
Thank you, Uwe, for your help! I have more measurements (m1, m2) and more parameters (par1, par2). I can calculate the means of m1 and m2 this way: aggregate(cbind(m1, m2) ~ par1 + par2, dat, mean) However, I also need to calculate the standard error of the mean, and the variance for the sample, and I would like to have them output as extra columns next to the column with means. Again, I would appreciate any help! On 17.01.2012 15:09, Uwe Ligges wrote: 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. -- Ireneusz (Irek) Szczesniak http://www.irkos.org __ 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.
Re: [R] Mean of simulation runs given in a table
Try using the function in the plyr package. E.g., z - data.frame( # your toy dataset run = c(1, 2, 1, 2), par = c(10, 10, 20, 20), measured = c(12, 14, 20, 26)) library(plyr) ddply(z, .(par), summarize, meanMeasured=mean(measured), sdMeasured=sd(measured)) par meanMeasured sdMeasured 1 10 13 1.414214 2 20 23 4.242641 Bill Dunlap Spotfire, TIBCO Software wdunlap tibco.com -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Ireneusz Szczesniak Sent: Tuesday, January 17, 2012 2:43 PM To: r-help@r-project.org Subject: Re: [R] Mean of simulation runs given in a table Thank you, Uwe, for your help! I have more measurements (m1, m2) and more parameters (par1, par2). I can calculate the means of m1 and m2 this way: aggregate(cbind(m1, m2) ~ par1 + par2, dat, mean) However, I also need to calculate the standard error of the mean, and the variance for the sample, and I would like to have them output as extra columns next to the column with means. Again, I would appreciate any help! On 17.01.2012 15:09, Uwe Ligges wrote: 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. -- Ireneusz (Irek) Szczesniak http://www.irkos.org __ 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.
