Reshape data frame from wide to panel with multiple variables and some time invariant

Question

This is a basic problem in data analysis which Stata deals with in one step.

Create a wide data frame with time invariant data (x0) and time varying data for years 2000 and 2005 (x1,x2):

d1 <- data.frame(subject = c("id1", "id2"),  
x0 = c("male", "female"),  
x1_2000 = 1:2,   
x1_2005 = 5:6,  
x2_2000 = 1:2,  
x2_2005 = 5:6    
) 

s.t.

subject x0 x1_2000 x1_2005 x2_2000 x2_2005  
1     id1 male         1       5       1       5  
2     id2 female       2       6       2       6  

I want to shape it like a panel so data looks like this:

        subject     x0 time x1 x2
1     id1   male 2000  1  1
2     id2 female 2000  2  2
3     id1   male 2005  5  5
4     id2 female 2005  6  6

I can do this with reshape s.t.

d2 <-reshape(d1, 
idvar="subject",
varying=list(c("x1_2000","x1_2005"),
    c("x2_2000","x2_2005")),
    v.names=c("x1","x2"),
    times = c(2000,2005),
    direction = "long",
    sep= "_")

My main concern is that when you have dozens of variables the above command gets very long. In stata one would simply type:

reshape long x1 x2, i(subject) j(year)

Is there such a simple solution in R?

Answer 1

reshape can guess many of its arguments. In this case it's sufficient to specify the following. No packages are used.

 reshape(d1, dir = "long", varying = 3:6, sep = "_")

giving:

       subject     x0 time x1 x2 id
1.2000     id1   male 2000  1  1  1
2.2000     id2 female 2000  2  2  2
1.2005     id1   male 2005  5  5  1
2.2005     id2 female 2005  6  6  2