Millo Giovanni
2009-Dec-10 11:45 UTC
[R] plm ? tests of poolability ? error: insufficient number
Hello Cecilia, nice hearing from you again. I must restate a couple of my old hints, though ;^) 1) please always put the authors c/c, as we are not guaranteed to browse through the r-help every day 2) please provide reproducible examples. As example(pooltest) keeps working fine, as do some other cases I tried (Grunfeld data etc.), I don't know what the problem is but evidently your data are peculiar in exposing it. Sure the data numerosity must be enough, but maybe you have something which doesn't vary along some dimension, and gets dropped? or some groups which are all-NA? Do the "random" and "pooling" options crash as well? You might use traceback() to better identify the problem, and/or send a complete example to the list or even to me separately if it's too heavy. Cheers, Giovanni Giovanni Millo Research Dept., Assicurazioni Generali SpA Via Machiavelli 4, 34132 Trieste (Italy) tel. +39 040 671184 fax +39 040 671160 ### original message ### ------------------------------ Message: 106 Date: Thu, 10 Dec 2009 10:53:01 +0000 From: "Cecilia Carmo" <cecilia.carmo at ua.pt> Subject: [R] plm ? tests of poolability ? error: insufficient number of observations To: r-help at r-project.org Message-ID: <web-92270892 at controller.cgpmail.ua.pt> Content-Type: text/plain;charset=iso-8859-1;format="flowed" Hi everyone! I?m running the pooltest in plm package, like this pooltest(cstfin12~lmaccdiscrz+lcobjur+lliq+lcollateral+ldimensao, data = dados3, model = "within") But I got the following error: Error in FUN(X[[1L]], ...) : insufficient number of observations My data is an unbalanced panel with 20907 observations (6971 individuals and years 2001 to 2007). This is not enough? Could anyone help me? Cec?lia Carmo (Universidade de Aveiro ? Portugal) ### end original message ### Ai sensi del D.Lgs. 196/2003 si precisa che le informazi...{{dropped:13}}
Possibly Parallel Threads
- plm – tests of poolability – error: insufficient number of observations
- coefficients poolability (was: question regarding panel data analysis)
- question about the chow test of poolability
- waldtest and nested models - poolability (parameter stability)
- corrigendum on fixed effects and R2 in within models