Many thanks for all of you for your responses. Best Regards, SV
Le mardi 8 mai 2018 à 21:58:37 UTC+2, Daniel Nordlund <djnordl...@gmail.com> a écrit : On 5/8/2018 12:26 PM, varin sacha via R-help wrote: > > Dear R-experts, > > Here below the reproducible example. I am trying to get the average of the > 100 results coming from the "lst" function. I have tried lst$mean and > mean(lst). It does not work. > Any help would be highly appreciated > > #################### > > ## R script for getting MedAe and MedAeSQ from HBR model on Testing data > install.packages("robustbase") > install.packages( "MASS" ) > install.packages( "quantreg" ) > install.packages( "RobPer") > install.packages("devtools") > library("devtools") > install_github("kloke/hbrfit") > install.packages('http://www.stat.wmich.edu/mckean/Stat666/Pkgs/npsmReg2_0.1.1.tar.gz') > library(robustbase) > library(MASS) > library(quantreg) > library(RobPer) > library(hbrfit) > > # numeric variables > A=c(2,3,4,3,2,6,5,6,4,3,5,55,6,5,4,5,6,6,7,52) > B=c(45,43,23,47,65,21,12,7,18,29,56,45,34,23,12,65,4,34,54,23) > D=c(21,54,34,12,4,56,74,3,12,71,14,15,63,34,35,23,24,21,69,32) > > # Create a dataframe > BIO<-data.frame(A,B,D) > > # Create a list to store the results > lst<-list() > <<<snip>>> You need to spend some time with the Introduction to R that came with your R installation. First, lst in your example is not a function, it is a list. And as you found, the mean() function does not work on a list. Second, your "minimal reproducible" example could have been something like this lst <- list() for (i in 1:10) lst[i] <- i mean(lst) # does not work The documentation for mean, ?mean, says that it is looking for a numeric or logical vector. To convert your list to a numeric vector you could unlist() it. mean(unlist(lst)) Hope this is helpful, Dan -- Daniel Nordlund Port Townsend, WA USA ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.