How to combine two datatables by position (not by rownames nor by colnames)?

I wanted to combine two data tables, where one of them has the information of the other in a tidy format. One example of what I wanted would be to merge two tables like this ones:

information <- data.frame(c("standard-1", "standard-2", "standard-3"), c("sample-1", "sample-2", "sample-3"))
data <- data.frame(c(2, 4, 5), c(4, 2, 6))

And obtain a new data table where each column would came from a table and each row will be an observation. Like the one created with this code:

all_data <- data.frame(c("standard-1", "standard-2", "standard-3", "sample-1", "sample-2", "sample-3"), c(2, 4, 5, 4, 2, 6))

I have tried in a very low elegant way by applying one loop that goes for each column of each table and adding the information to a new table, but I always receive errors about the information having different names (I don't care about columns or rows names) or having different sizes

Any help would be appreciated

Solution

You can unlist both the dataframes in a vector to get the resultant dataframe.

result <- data.frame(info_col = unlist(information), 
                     data_col = unlist(data), row.names = NULL)
result

#    info_col data_col
#1 standard-1        2
#2 standard-2        4
#3 standard-3        5
#4   sample-1        4
#5   sample-2        2
#6   sample-3        6

This would work considering both the dataframes are of equal dimensions and have the same length when unlisted in a vector.