Martin Batholdy <batholdy <at> googlemail.com> writes: > I have to import multiple R-files. > Each file consists of several functions with the same function name across the R-files. > When I import all files one by one (with source()) I overwrite the function definition of the previous file > until only the very last function definition lasts. > However, I need them separately (although they have the name, they solve a certain task differently). > Now I thought about creating a separate environment for each file / function-group, but I do not know > upfront how many files I have to import and therefore how many different environments I need. > But since the creation of an environment works like variable assignments (myEnv <- new.env()) I cannot > just loop over the number of files and create x environments. > What is the best way to solve this problem of importing functions without overwriting already existing > functions with the same name?
There is not really enough of an example to suggest a definite solution, but could you read the files with lapply and return the environment with the functions? That way you would have a list of environments that you could access as list elements. I haven't done this before but env.lst <- lapply(1:5, new.env) seems to work just fine env.lst [[1]] <environment: 0x108928b20> [[2]] <environment: 0x1089295f8> [[3]] <environment: 0x10892a908> [[4]] <environment: 0x10892a438> [[5]] <environment: 0x10892aea0> > Thanks! > -- Kenneth Knoblauch Inserm U846 Stem-cell and Brain Research Institute Department of Integrative Neurosciences 18 avenue du Doyen Lépine 69500 Bron France tel: +33 (0)4 72 91 34 77 fax: +33 (0)4 72 91 34 61 portable: +33 (0)6 84 10 64 10 http://www.sbri.fr/members/kenneth-knoblauch.html ______________________________________________ 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.
