Hi I did not see any answer so I give it a try. Your approach seems to be OK. However you probably need to polish your code to get the correct part of nested list.
> lll<-list(a=rnorm(10), b= list(x=1:10, y<-letters)) > lll[[1]] [1] -0.1876418 1.5933030 -0.1799642 0.1713959 1.1079227 -0.5885820 [7] -1.1629393 -1.7157378 -1.5088232 -0.1150207 > lll[[2]] $x [1] 1 2 3 4 5 6 7 8 9 10 [[2]] [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" "u" "v" "w" "x" "y" "z" > lll[[2]][[1]] [1] 1 2 3 4 5 6 7 8 9 10 > lll[[2]][[2]] [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" "u" "v" "w" "x" "y" "z" > Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of BARLAS > Marios 247554 > Sent: Tuesday, December 08, 2015 12:30 PM > To: r-help@r-project.org > Subject: [R] Importing data by targeting in filenames inside a nested > list > > Hello everyone, > > So, rookie me is trying to write a smart code, so here's what I'm > doing: > > I have a list of a couple of hundrend files, some of which refer to > different experiments. > The naming of the file refers to the experiment and the serial number > to the topological reference on my sample. > > Performing my data analysis in 1 file class at a time looks OK, so I'm > trying to generalize my code. > I figured out I could group them together by performing a pattern read > on a nested list, which works for getting the file names and grouping > them but then I'm getting some problems when I try to perform the > import from the nested list. My code looks like this: > > # Vector containing file name patterns to be read and grouped together > measurement_filenames <- c("*Q_Read_prist*", "*Quasi_Forming*", > "*read_set#1*","*Q_Reset_pForm#1*","*read_reset#2*","*quasistatic_set*" > , "*read_set#2*", "*quasistatic_reset#2*" ) > > # Create a list of the files to be read in sorted in a natural fashion > electrical_meas_files <- lapply(measurement_filenames, function(x) > naturalsort(list.files(path, pattern=x))) > names(electrical_meas_files) <- measurement_filenames > > # Perform data import for each element > > for(i in 1:length(measurement_filenames)) > { > electrical_meas_raw_data[[i]] <- lapply(electrical_meas_files[[i]], > function(x) read.xlsx(file=x, sheetName="Data", header=TRUE, > as.data.frame =TRUE, stringsAsFactors = F) ) > } > > > > My idea is to come up with a nested list of the structure > {list of different experiments} > {list of all sites where the experiment was run} > {set of dataframes with all data for each site} > > > Do I make sense or am I over-complicating the situation ? > > > Any ideas how I could write this piece of code or improve it ? > > Thanks in advance, > Mario > > ______________________________________________ > 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. ________________________________ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. 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