Read all files in a folder and apply a function to each data frame

I am doing a relatively simple piece of analysis that I have put into a function on all the files in a particular folder. I was wondering whether anyone had any tips to help me automate the process on a number of different folders.

1. Firstly, I was wondering whether there was a way of reading all the files in a particular folder straight into R. I believe the following command will list all the files:

files <- (Sys.glob("*.csv"))

...which I found from Using R to list all files with a specified extension

And then the following code reads all those files into R.

listOfFiles <- lapply(files, function(x) read.table(x, header = FALSE)) 

…from Manipulating multiple files in R

But the files seem to be read in as one continuous list and not individual files… how can I change the script to open all the csv files in a particular folder as individual dataframes?

2. Secondly, assuming that I can read all the files in separately, how do I complete a function on all these dataframes in one go. For example, I have created four small dataframes so I can illustrate what I want:

    Df.1 <- data.frame(A = c(5,4,7,6,8,4),B = (c(1,5,2,4,9,1)))
    Df.2 <- data.frame(A = c(1:6),B = (c(2,3,4,5,1,1)))
    Df.3 <- data.frame(A = c(4,6,8,0,1,11),B = (c(7,6,5,9,1,15)))
    Df.4 <- data.frame(A = c(4,2,6,8,1,0),B = (c(3,1,9,11,2,16)))
   

I have also made up an example function:

Summary<-function(dfile){
SumA<-sum(dfile$A)
MinA<-min(dfile$A)
MeanA<-mean(dfile$A)
MedianA<-median(dfile$A)
MaxA<-max(dfile$A)

sumB<-sum(dfile$B)
MinB<-min(dfile$B)
MeanB<-mean(dfile$B)
MedianB<-median