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I am trying to load a bunch *.Rdata into a list.
files <- paste0("name", 1:10, ".Rdata")
data <- lapply(files, load)
This creates a list, where in each element has the name of data frame, but nothing else.
If I redefine files such that it only contains the first file, and call:
load(files)
Then is "works", but the file in 'files' is asigned to the global enviroment, which is not what I would like.
I would like to end up with a list, which in each element contains the dataframe. Such that then when I do data processing I can lapply over the list.
790
Creating a list of Dataframes. To create a list of Dataframes we use the list() function in R and then pass each of the data frame you have created as arguments to the function.
Using loc[] to Append The New List to a DataFrame. By using df. loc[index]=list you can append a list as a row to the DataFrame at a specified Index, In order to add at the end get the index of the last record using len(df) function.
In order to create a list of data frames in R, we can use the list() function. Within the function, we simply have to specify all data frames that we want to include to the list separated by a comma.
To join a list of DataFrames, say dfs , use the pandas. concat(dfs) function that merges an arbitrary number of DataFrames to a single one.
You can try
lapply(files, function(x) mget(load(x)))
mget will return the value of the object(or objects) in a list. In your .Rdata files, there is only a single 'data.frame' object per file. So, even get should work.
In your code,
load(files[1])
The objects will be found in the global environment. Suppose, the object is 'd1', by typing 'd1' on the console, you get the value of the object. The same way
lapply(files, load, .GlobalEnv)
loads the object in the global environment, and can be accessed by typing. Your question, which I guess is to get the values in a list and that can be done with get or mget.
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