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I still have this message

e(sample) changed across estimation runs
r(498);

end of do-file

r(498);

and the programme didn't fit until 10% again

Hi ChrisCharlton,

I have tried to correct the section step by step to see what happen. I still have an abortion of the system after 10%.
Maybe the new release include other corrections that work with this section of the macro.

Should the section look like this after correction :?:

if _caller() >= 11 {
local 0 `.`o'.eq indepvars `e''
syntax varlist(fv)
fvexpand `varlist'
local fpname`e' `r(varlist)'
fvrevar `r(varlist)'
local fp`e' `r(varlist)'
local newvars :list fp`e' - varlist
if "`newvars'" ~= "" {
quietly ...

Does the system abort because the option “fp <var>” allowing it to generate the different powers of var is not included on the runmlwin macro?

Thanks

Hi!

Oh Thanks
It run without the nopause option but abort with the same message

e(sample) changed across estimation runs
r(498);

Hi,

When I apply it to the data I provided:
fp <nmatpre>: noisily runmlwin normexam cons <nmatpre> level2(schoolid: cons) level1(childid: cons) nopause nogroup

I get the following error:

option level1() required
fp: ran the command
. noisily runmlwin normexam cons nmatpre level2(schoolid ...

Hi GeorgeLeckie

Here an example:

It is not a good example because the test scores have been normalised, but I could't find a stata example with multilevel data non-normalised. nmatpre had missing values, these values have been imputed on REALCOM and imported on stata giving the following file ...

Hi,

I am not sure I could combine a fractional polynomial command (fp) with a runmlwin command.
Stata consider the "cmdok noisily: runmlwin" as a "fp" option and the program doesn't run.

Thanks for your help

Likestatistic

Hi All,

Need help to run a multilevel model using fractional polynomial and imputed data with runmlwin. :oops:

I imputed missing data on Realcom and tried this (below), but it doesn’t work.

fp <imputed var mean>, cmdok noisily: runmlwin outcome cons <imputed var mean> level2(area: cons) level1 ...