How to combine lists of data frames in R?

If we have a list of data frames and the size of those data frames is same then we might want to combine the lists so that the data frames can be combined. This can be done by using mapply function along with cbind. For example, if we have two lists of data frames defined as List1 and List2 then we can combine them using the command −
mapply(cbind,List1,List2,SIMPLIFY=FALSE).
Consider the below data frame −
Live Demo
> x1<-rnorm(10)
> x2<-rnorm(10)
> df1<-data.frame(x1,x2)
> df1
      x1        x2
1   0.2378371  0.51433808
2   0.0638975 -1.66077353
3   0.3987209  0.68480587
4  -1.1321073  0.29528261
5  -0.5603269  1.14556819
6   2.2072545 -1.20718355
7   0.8196423  0.38380242
8  -2.2394064  0.06741712
9  -0.7356725 -1.46968026
10 -1.4642820 -1.39423679
Live Demo
> y1<-rnorm(10)
> y2<-rnorm(10)
> df2<-data.frame(y1,y2)
> df2
      y1         y2
1  2.2307515  0.375538934
2 -1.3539616 -0.169574915
3 -0.1332480 -0.788416414
4  1.3181498  1.887995737
5 -1.4384012  1.261034365
6  0.3725585 -0.493219141
7 -0.7806511 -1.177616450
8 -0.4772392  0.250962895
9 -0.8932982 -0.004567268
10 0.2224190 -0.203232106
> List1<-list(df1,df2)
> List1
[[1]]
         x1     x2
1  0.2378371  0.51433808
2  0.0638975 -1.66077353
3  0.3987209  0.68480587
4 -1.1321073  0.29528261
5 -0.5603269  1.14556819
6  2.2072545 -1.20718355
7  0.8196423  0.38380242
8 -2.2394064  0.06741712
9 -0.7356725 -1.46968026
10 -1.4642820 -1.39423679

[[2]]
y1 y2
1  2.2307515  0.375538934
2 -1.3539616 -0.169574915
3 -0.1332480 -0.788416414
4  1.3181498  1.887995737
5 -1.4384012  1.261034365
6  0.3725585 -0.493219141
7 -0.7806511 -1.177616450
8 -0.4772392  0.250962895
9 -0.8932982 -0.004567268
10 0.2224190 -0.203232106
Live Demo
> a1<-rnorm(10)
> a2<-rnorm(10)
> df3<-data.frame(a1,a2)
> df3
        a1      a2
1  1.5711728  0.2861241
2  0.8062374  0.9469154
3  1.1505496 -0.5894829
4  0.9164866 -0.3137043
5 -1.3424446 -1.2921698
6 -0.1499540 -0.8940665
7 -0.1498557 -1.1361156
8  0.9299988  0.7679135
9 -1.7079005 -0.7099908
10 0.8146867  1.3921303
Live Demo
> b1<-rnorm(10)
> b2<-rnorm(10)
> df4<-data.frame(b1,b2)
> df4
      b1       b2
1 -1.7113866  1.7014637
2 -0.0202485  1.2428109
3 -0.3892979 -1.5831333
4  0.2127277 -0.4943695
5 -0.4846616  1.0283278
6 -1.4116239 -1.4882983
7 -0.1737286 -0.1101114
8  1.4613389  0.1531942
9 -0.1573986  0.3431330
10 -0.2782074 0.5439397
> List2<-list(df3,df4)
> List2
[[1]]

      a1       a2
1  1.5711728  0.2861241
2  0.8062374  0.9469154
3  1.1505496 -0.5894829
4  0.9164866 -0.3137043
5 -1.3424446 -1.2921698
6 -0.1499540 -0.8940665
7 -0.1498557 -1.1361156
8  0.9299988  0.7679135
9 -1.7079005 -0.7099908
10 0.8146867  1.3921303

[[2]]
b1 b2
1 -1.7113866 1.7014637
2 -0.0202485 1.2428109
3 -0.3892979 -1.5831333
4 0.2127277 -0.4943695
5 -0.4846616 1.0283278
6 -1.4116239 -1.4882983
7 -0.1737286 -0.1101114
8 1.4613389 0.1531942
9 -0.1573986 0.3431330
10 -0.2782074 0.5439397
Combining the list of data frames −
> mapply(cbind,List1,List2,SIMPLIFY=FALSE)
[[1]]
x1 x2 a1 a2
1 0.2378371 0.51433808 1.5711728 0.2861241
2 0.0638975 -1.66077353 0.8062374 0.9469154
3 0.3987209 0.68480587 1.1505496 -0.5894829
4 -1.1321073 0.29528261 0.9164866 -0.3137043
5 -0.5603269 1.14556819 -1.3424446 -1.2921698
6 2.2072545 -1.20718355 -0.1499540 -0.8940665
7 0.8196423 0.38380242 -0.1498557 -1.1361156
8 -2.2394064 0.06741712 0.9299988 0.7679135
9 -0.7356725 -1.46968026 -1.7079005 -0.7099908
10 -1.4642820 -1.39423679 0.8146867 1.3921303

[[2]]
y1 y2 b1 b2
1 2.2307515 0.375538934 -1.7113866 1.7014637
2 -1.3539616 -0.169574915 -0.0202485 1.2428109
3 -0.1332480 -0.788416414 -0.3892979 -1.5831333
4 1.3181498 1.887995737 0.2127277 -0.4943695
5 -1.4384012 1.261034365 -0.4846616 1.0283278
6 0.3725585 -0.493219141 -1.4116239 -1.4882983
7 -0.7806511 -1.177616450 -0.1737286 -0.1101114
8 -0.4772392 0.250962895 1.4613389 0.1531942
9 -0.8932982 -0.004567268 -0.1573986 0.3431330
10 0.2224190 -0.203232106 -0.2782074 0.5439397