Folks,
I would like to concatenate or merge if you will 2 data frames df1 and df2. My goal is as simple as making a new data frame whose columns is a union of those of df1 and df2.
Example
product=c("p1","p1","p1","p1","p1","p1","p1","p1","p2","p2","p2","p2","p2","p2","p2","p2","p3","p3","p3","p3","p3","p3","p3","p3","p4","p4","p4","p4","p4","p4","p4","p4")
skew=c("b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a")
version=c(0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2)
color=c("C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2")
price=c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32)
df1 = data.frame(product, skew, version)
df2 = data.frame(product, skew, color, price)
My desire is to get the results as below.
I have tried a few options:
#option 1 with cbind
df <- cbind(df1,df2)
This returns a dataframe duplicated columns "product" and "skew".
# Option 2, use data.frame
df <- data.frame(df1,df2)
This gave me pretty much what I want, except that it had extra columns for "product" and "skew". They are suffixed with a ".1" though, so there is no duplicaton.
# option 3, use merge which seems to be the way to go
df <- merge(df1,df2)
I think I am missing something with merge because this has actually created a union out of all the data set, making a total of 128 observations out of the 32 provided. I guess that's how merge works. I have run a "?merge" and tried a few options but could not get it to spit what I want.
So my question is:
What is the best way of getting my desired dataframe out of the df1 and df2 as above ?
Thx in advance for your help !
Riad.
product skew version color price
1 p1 b 0.1 C1 1
2 p1 b 0.1 C2 2
3 p1 b 0.2 C1 3
4 p1 b 0.2 C2 4
5 p1 a 0.1 C1 5
6 p1 a 0.1 C2 6
7 p1 a 0.2 C1 7
8 p1 a 0.2 C2 8
9 p2 b 0.1 C1 9
10 p2 b 0.1 C2 10
11 p2 b 0.2 C1 11
12 p2 b 0.2 C2 12
13 p2 a 0.1 C1 13
14 p2 a 0.1 C2 14
15 p2 a 0.2 C1 15
16 p2 a 0.2 C2 16
17 p3 b 0.1 C1 17
18 p3 b 0.1 C2 18
19 p3 b 0.2 C1 19
20 p3 b 0.2 C2 20
21 p3 a 0.1 C1 21
22 p3 a 0.1 C2 22
23 p3 a 0.2 C1 23
24 p3 a 0.2 C2 24
25 p4 b 0.1 C1 25
26 p4 b 0.1 C2 26
27 p4 b 0.2 C1 27
28 p4 b 0.2 C2 28
29 p4 a 0.1 C1 29
30 p4 a 0.1 C2 30
31 p4 a 0.2 C1 31
32 p4 a 0.2 C2 32