Oddly enough, Christian Weiss has exactly the same problem.
Pure -xpose- problems are rare in my experience.
And only very occasionally is -sxpose- (a user-written command from SSC)
the solution
otherwise.
The main reason for that is the one you give: datasets of this kind
usually include
both string and numeric variables.
You should check out -reshape-. With dataset 1
reshape long Firm, i(Description1)
is a first step.
Nick
[email protected]
P.S. for row sums, use addition (+) or check out -egen-.
Richter, Ansgar
I am currently working on the following problem and it would be great if
someone had an idea how to proceed.
I have two datasets (exemplary illustration):
Dataset 1:
Description1 Firm1 Firm2 Firm3
-----------------------------------------------
xyz 123 456 789
abc 321 654 987
Dataset 2:
Firm Employees TotalAssets
----- --------- -----------
Firm1 123 123
First, I would like to "transpose" this dataset into a vertical order to
merge (later on) dataset1 with dataset2. However, as the dataset
contains
string values as well as numerical values, neither the "xpose" nor the
"sxpose" command seems to be applicable.
(Xpose does exactly what I need, however I loose the string values,
sxpose
(with force option) gives a "type mismatch" error).
After applying "xpose", Dataset 1 looks a follows: (variable firm was
newly
created)
Dataset 2_xpose:
Firm v_1 v_2
---- ----- ---
Firm1 123 321
Firm2 456 654
Firm2 789 987
First Question: Do you have any suggestion how I can prevent that the
string-variable ("description") is lost?
Second question:
I would like to calculate the sum of v_1 and v_2 for each row, how can I
implement this?
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