Merging 2 files without a common key - r

Question

I have 2 files. One is a time_file which has 3000 rows and the other is userid file which has 2000 rows. I want to merge the two, so that each row (ID) in the userid file is paired with the full data from each row of the time_file.
Rows 1-3000 would show the first userid with each of the dates.
Rows 3001-6000 would show the 2nd userid with each of the dates, and so on.
Thanks in advance!
Time file
mo day year date
11 1 2015 11/1/2015
11 2 2015 11/2/2015
11 3 2015 11/3/2015
11 4 2015 11/4/2015
11 5 2015 11/5/2015
.
.
userid file
userid
154
155
157
158
159
160
.
.
Ideal format(what I want)
mo day year date userid
11 1 2015 11/1/2015 154
11 2 2015 11/2/2015 154
11 3 2015 11/3/2015 154
11 4 2015 11/4/2015 154
11 5 2015 11/5/2015 154
.
.
3 28 2017 3/28/2017 154
3 29 2017 3/29/2017 154
3 30 2017 3/30/2017 154
3 31 2017 3/31/2017 154
11 1 2015 11/1/2015 155
11 2 2015 11/2/2015 155
11 3 2015 11/3/2015 155
11 4 2015 11/4/2015 155
11 5 2015 11/5/2015 155
11 6 2015 11/6/2015 155

Answer 1

Easiest solution in R I can think of, assuming you've gotten your time data in a data frame and your user data in a vector:
final_df <- cbind(date_df, "userid" = rep(user, each = 3000))
This will repeat each user_id 3000 times, then bind the user_id column to the date data frame.

Answer 2

In SPSS you can use the cartesian product function for this:
First this recreates your example data:
data list free/mo day year (3f4) date (a12).
begin data.
11 1 2015 11/1/2015
11 2 2015 11/2/2015
11 3 2015 11/3/2015
11 4 2015 11/4/2015
11 5 2015 11/5/2015
end data.
DATASET NAME time_file.
data list free/ userid.
begin data.
154,155,157,158,159,160
end data.
DATASET NAME userid.
This will now combine the two tables like you requested:
STATS CARTPROD VAR1=userid INPUT2=time_file VAR2=mo day year date
/SAVE OUTFILE="path\your combined data.sav".