Taking my concern about robustness to unforeseen data problems as read,
these commands are very easy to try out...
clear
set obs 8
forv i=1/7 {
g v`i'=uniform() if _n==`i'
}
li
g vmax=max(v1,v2,v3,v3,v4,v5,v6,v7)
egen vrowmax=rowmax(v1-v7)
li, noo clean
On 3/7/07, Austin Nichols <[email protected]> wrote:
Eleanor Friedman et al.--
I don't think any of the approaches below are robust
to unexpected twists in the data, something we
should all be careful of as a rule. Just to be
sure the data is as expected, I would:
clear
input var1 var2
. 2
. 8
. 0
7 .
3 .
. .
3 4
end
gen newvar1=max(var1,var2)
gen newvar2=min(var1,var2)
assert newvar1==newvar2
l var? newvar? if newvar1!=newvar2
Paswel Phiri Marenya <[email protected]> wrote:
> What to me is easier is something like:
> gen var3 = var2
> then replace var3=var1 in 4/5 and so on...although with a long data set it
> may be tedious perhaps.
Andrew H. Sidman <[email protected]> wrote:
> While there is probably a faster way, I gen
> temporary variables and recode the missing:
> gen var1a = var1
> gen var2a = var2
> recode var1a var2a (. = 0)
> gen newvar = var1a + var2a
> drop var1a var2a
Philipp Rehm <[email protected]> wrote:
> gen newvar=var1
> replace newvar=var2 if newvar==.
ricardo sierra <[email protected]> wrote:
> egen newvar=rowtotal(var1 var2)
> replace newvar=. if var1==. & var2==.
> [email protected] wrote:
> Now I have a question about combining the data from two
> variables (in the same data set) into one variable. I want to
> combine the variables in such a way that the data from one
> variable can replace the missing values from the other. I have
> created an example of what I am looking for below:
*
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