Sorry, I was taking a short cut - yes I want the ses - my problem
was/is to access the e(over_labels) which consist of two comonents
separated by a space.
So to add ses I can
.....
mat ev = vecdiag(e(V))'
mat eb = e(b)'
mat en = e(_N)'
mat evn = eb,ev,en
drop _all
svmat evn
gen row = ""
forval o = 1/`c(N)' {
local r : label g `o'
replace row = "`r'" in `o'
}
gen var1 = substr(row, 1, 2)
gen var2 = substr(row, -1, 1)
gen lb = evn1 - invttail(evn3-1,0.025) * (evn2^0.5 * sqrt(evn3) / sqrt(evn3))
gen ub = evn1 + invttail(evn3-1,0.025) * (evn2^0.5 * sqrt(evn3) / sqrt(evn3))
gives me the ses
But I am disappointed I cannot captuer the over_labels in am ore
elegant way, and was just thinking there must be a way to parse the
e(over_labels) macro in a better way. but the spaces between "NE and
"1`" were defeating me until I came upon the "local r : label
labelname # " wheeze.
So, expecting enlightenment
On Fri, Jul 10, 2009 at 3:02 PM, Austin Nichols<[email protected]> wrote:
> Richard Palmer-Jones<[email protected]>:
>
> I don't understand--if indeed you only want the weighted means and not
> the SEs, then use -collapse- and get there in one line, and note that
> pweights and aweights are equivalent if you do not need SEs. What do
> you need this dataset of summary stats for, anyway? The goal dictates
> the preferred method, in general. My point was just that the labels
> (both numeric and string) for the -over- variable are easy to access.
>
> Also, it looks like in your original post you said "I want to compuile
> the ereturned e(b) and e(v) results of a -mean var1, over(var2 var3,
> nolabel)- into a usable form, such as rows in new variables or a
> matrix, together with the relevatn values of var2 & var3" so a matrix
> is what you asked for...
>
> On Fri, Jul 10, 2009 at 9:35 AM, Richard
> Palmer-Jones<[email protected]> wrote:
>> and then extracting the two values gives me the result I wan - a file
>> with the resulsts of svy: mean .. , over()
>>
>> | v1 row var1 var2 |
>> |-------------------------------|
>> 1. | 125.7034 NE 1 NE 1 |
>> 2. | 127.8939 NE 2 NE 2 |
>> 3. | 129.4605 NE 4 NE 4 |
>> 4. | 126.8856 MW 1 MW 1 |
>> 5. | 126.381 MW 2 MW 2 |
>> +-------------------------------+
>>
>>
>> I am sure there are more elegant ways to do this, but I cannot get the
>> more obvious ones to work for reasons I am sure are obvious to adpets.
>
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