Thanks Riccardo.I will check the R packages.
Best
Leandro
2014-04-25 21:28 GMT-03:00 Riccardo (Jack) Lucchetti
:
> On Fri, 25 Apr 2014, Leandro Zipitria wrote:
>
> Dear all,
>>
>> I want to made a variance decomposition analysis, that is to decompose the
>> variance into particular covariates
On Fri, 25 Apr 2014, Riccardo (Jack) Lucchetti wrote:
> On Fri, 25 Apr 2014, oleg_komashko(a)ukr.net wrote:
>
>> Thank everybody! Have tried on debian/jessie CVS and from Debian repos and
>> on XP: the same
>
>> The problem is 100% with R 3.1 Have installed 3.03 works
>
> That's nice to know; how
On 25-04-2014, at 17:09, Allin Cottrell wrote:
> On Fri, 25 Apr 2014, Ignacio Diaz-Emparanza wrote:
>
>> On 25/04/14 15:38, oleg_komashko(a)ukr.net wrote:
>>>
>>> to easily see the possible bug:
>>>
>>> run
>>> #begin
>>> nulldata 100
>>> setobs 1 1910 --time-series
>>> series norm = randgen(
Thank everybody! Have tried on debian/jessie CVS and from Debian repos and on
XP: the same
The problem is 100% with R 3.1 Have installed 3.03 works
Thank everybody!
Have tried on debian/jessie CVS and from Debian repos and on XP: the sameThe problem is 100% with R 3.1Have ins
On Fri, 25 Apr 2014, oleg_komashko(a)ukr.net wrote:
> Thank everybody! Have tried on debian/jessie CVS and from Debian repos
> and on XP: the same
> The problem is 100% with R 3.1 Have installed 3.03 works
That's nice to know; however, the problem remains. Would it be worthwhile
to use binary
On Fri, 25 Apr 2014, Allin Cottrell wrote:
> I think it depends on the R version. In R 3.1.0 there's a "new feature"
> (in fact, a backwardly incompatible change) described as follows:
>
> "type.convert() (and hence by default read.table()) returns a character
> vector or factor when representing
...
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)
...
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Dear all,
I want to made a variance decomposition analysis, that is to decompose the
variance into particular covariates. This models are hierarchical models.
Is any command in Gretl that does the same analysis as xtmixed in Stata, or
proc mixed in SAS?
Thanks
Leandro
Dear all,I want to made a v
En 25/04/2014 16:16, Ignacio Diaz-Emparanza escribiu:
> On 25/04/14 15:38, oleg_komashko(a)ukr.net wrote:
>> to easily see the possible bug:
>> run
>> #begin
>> nulldata 100
>> setobs 1 1910 --time-series
>> series norm = randgen(N,15000,200)
>> # end
>> start interactive R session and type in R co
to easily see the possible bug: run #begin nulldata 100 setobs 1 1910
--time-series series norm = randgen(N,15000,200) # end start interactive R
session and type in R console > gretldata What I obtained started as follows:
index norm 1910 1 15 1911 2 1 1912 3 60
On 25/04/14 15:38, oleg_komashko(a)ukr.net wrote:
>
> to easily see the possible bug:
>
> run
> #begin
> nulldata 100
> setobs 1 1910 --time-series
> series norm = randgen(N,15000,200)
> # end
> start interactive R session and type in R console
> > gretldata
> What I obtained started as follows:
>
On Fri, 25 Apr 2014, Ignacio Diaz-Emparanza wrote:
> On 25/04/14 15:38, oleg_komashko(a)ukr.net wrote:
>>
>> to easily see the possible bug:
>>
>> run
>> #begin
>> nulldata 100
>> setobs 1 1910 --time-series
>> series norm = randgen(N,15000,200)
>> # end
>> start interactive R session and type i
It seems, there is a bug in exporting data on starting R session from Gretl If
start a R session with the attached file opened in Gretl variables l_gdpr_usa
and gdpr3 are read as they should be. gdpr_usa[1] is 99547.54
gdpr3=gdpr_usa/1000 gdpr_usa is read in R as [1] 142 1 2 5 4 6 7
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