Performing same action on multiple tables in for loop - r

Question

This is a very simplified version of what I'm trying to do. In brief, I create some matrices that I want to perform the same action on, like in a loop. In this example here I want to print the summary for each matrix, but I don't know how to refer to the matrices in a for loop. Any help is much appreciated:
for (i in 1:3){
x <- paste0('df', i)
assign(x, matrix(sample(1:10, 15, replace = TRUE), ncol = 3))
print(summary(eval(x)))
}
Returns (it is evaluating 'df3' as a string):
Length Class Mode
1 character character
Length Class Mode
1 character character
Length Class Mode
1 character character
How do I get it to return the following?
V1 V2 V3
Min. : 1.0 Min. :3.0 Min. : 5
1st Qu.: 5.0 1st Qu.:3.0 1st Qu.: 5
Median : 6.0 Median :4.0 Median : 7
Mean : 5.6 Mean :5.2 Mean : 7
3rd Qu.: 6.0 3rd Qu.:7.0 3rd Qu.: 8
Max. :10.0 Max. :9.0 Max. :10
V1 V2 V3
Min. :2 Min. :1.0 Min. : 4.0
1st Qu.:4 1st Qu.:3.0 1st Qu.: 4.0
Median :7 Median :3.0 Median : 6.0
Mean :6 Mean :3.4 Mean : 6.6
3rd Qu.:8 3rd Qu.:4.0 3rd Qu.: 9.0
Max. :9 Max. :6.0 Max. :10.0
V1 V2 V3
Min. :1.0 Min. : 5.0 Min. :1.0
1st Qu.:2.0 1st Qu.: 6.0 1st Qu.:2.0
Median :6.0 Median : 6.0 Median :3.0
Mean :5.2 Mean : 6.8 Mean :2.4
3rd Qu.:8.0 3rd Qu.: 7.0 3rd Qu.:3.0
Max. :9.0 Max. :10.0 Max. :3.0

Answer 1

Don’t use distinct variables and paste their names – put your objects into a list:
x = Map(function (i) matrix(sample(1:10, 15, replace = TRUE), ncol = 3), 1 : 3)
Then performing a common operation on them is trivial as well:
Map(summary, x)
Map maps a function onto a list. It operates similar to the lapply and mapply family of functions.

Answer 2

I think you can use eval(as.name("df3")) or get("df3")