Input columns have unequal lengths
Posted: Tue Jul 14, 2020 9:34 am
Hello
I just updated both my machines to the latest version of mlwin, which I have installed so that I can use runmlwin from stata. On one machine, I have 3.01 installed, and on the other it was an older version, 2.x (can't remember which exactly).
Now I am getting this error with my models, where I didn't previously. I wonder whether this is due to the following being listed as an update from 3.03 onwards: 'Check that all column lengths are equal when running the GMUL command' (though I'm not exactly sure what GMUL is).
Is it possible this is a bug with the programme? If so, can I revert back to a previous mlwin version? The old folders seem to have disappeared since I have upgraded. Obviously I don't want to do this if the models based on the old version were invalid, but as it stands I'm stuck.
Note I guess I would have the same problem with mlwin standalone, but I'm only familiar with runmlwin.
PS to add this is a 3 level cross-classified model. I don't get the error if I run the same model without it being cross-classified.
Many thanks
Dan
I just updated both my machines to the latest version of mlwin, which I have installed so that I can use runmlwin from stata. On one machine, I have 3.01 installed, and on the other it was an older version, 2.x (can't remember which exactly).
Now I am getting this error with my models, where I didn't previously. I wonder whether this is due to the following being listed as an update from 3.03 onwards: 'Check that all column lengths are equal when running the GMUL command' (though I'm not exactly sure what GMUL is).
Is it possible this is a bug with the programme? If so, can I revert back to a previous mlwin version? The old folders seem to have disappeared since I have upgraded. Obviously I don't want to do this if the models based on the old version were invalid, but as it stands I'm stuck.
Note I guess I would have the same problem with mlwin standalone, but I'm only familiar with runmlwin.
PS to add this is a 3 level cross-classified model. I don't get the error if I run the same model without it being cross-classified.
Many thanks
Dan