I have many many .RData files containing one dataframe that I had saved in a previous analysis and the data frame has the same name for each file loaded. So for example usin
Here's an option that incorporates several existing posts
all.files = c("file1.RData", "file2.RData", "file3.RData")
Read multiple dataframes into a single named list (How can I load an object into a variable name that I specify from an R data file?)
mylist<- lapply(all.files, function(x) {
load(file = x)
get(ls()[ls()!= "filename"])
})
names(mylist) <- all.files #Note, the names here don't have to match the filenames
You can save the list, or transfer the dataframes into the global environment prior to saving (Unlist a list of dataframes)
list2env(mylist ,.GlobalEnv)
Alternatively, if the dataframes were identical and you wanted to create a single big dataframe, you could collapse the list and add a variable with names of contributing files (Dataframes in a list; adding a new variable with name of dataframe).
all <- do.call("rbind", mylist)
all$id <- rep(all.files, sapply(mylist, nrow))