Re: [R] Package/command for creating a table of panel models ?

2011-12-12 Thread ManuelS
Thank you! I'm going to look into that straight away. Manu -- View this message in context: http://r.789695.n4.nabble.com/Package-command-for-creating-a-table-of-panel-models-tp4185744p4186077.html Sent from the R help mailing list archive at Nabble.com.

[R] Package/command for creating a table of panel models ?

2011-12-12 Thread ManuelS
some other classes but unfortunately not /*plm*/. I am pretty sure others must have encountered this problem and I am hoping they found a way around it. If so: I am gratful for any advice/help or even just a hint. ManuelS -- View this message in context: http://r.789695.n4.nabble.com/Package

[R] Error using coeftest() with a heteroskedasticity-consistent estimation of the covar.

2011-11-23 Thread ManuelS
Hey I am trying to run /coeftest()/ using a heteroskedasticity-consistent estimation of the covariance matrix and i get this error: # packages >library(lmtest) >library(sandwich) #test > coeftest(*GSm_inc.pool*, vcov = vcovHC(*GSm_inc.pool*, method="arellano", > type="HC3")) /Fehler in 1 - diagh

[R] Problems using log() in a plm() regression.

2011-11-21 Thread ManuelS
hey guys I have a panel data set that i want to perform some regressions on. I am using the /plm/ package. I defined a model in the following way: PWBw.pool <- plm(*PWB* ~ log(*I_EQON*) + log(*RD*) + ... + *PAGRI*, data = pfem, na.action=na.exclude, model="pooling") When i run this it gives the

Re: [R] importing large dataset

2011-10-26 Thread ManuelS
Hey The size doesnt matter - so far. What your looking for is /read.csv()/ or /read.csv2()/ A simple exemple would look like this: name <- read.csv2("C:/blablabla.../filename.csv", header=TRUE, sep=";", dec=".", na.strings="NA") header = TRUE leaves a row for columne titles (i suppose ur column

[R] merging to data.frames whose columns are different but follow a pattern.

2011-10-25 Thread ManuelS
Hi, I'm working with panel data from the Swiss Houshold Panel (SHP). The data i got came in the following way: 1.) 12 *different* /individual/ files - one for each year . 2.) 12 *different* /houshold/ files - again: one for each year Each file came in the SPSS format (.sav). I implemented all the