Thank you very much. It seems to me that this was not available in gretl
1.9.9, am I right?
On 5 January 2017 at 02:40, Allin Cottrell wrote:
> On Wed, 4 Jan 2017, Pedro Bação wrote:
>
> Hello,
>> Is there a Gretl function will that tell us what is the type of the
>> varia
Hello,
Is there a Gretl function will that tell us what is the type of the
variable given as argument? If not, is there a way of getting that sort of
information in Gretl?
Thanks,
Pedro
Hello,Is there a Gretl function will that tell us what is the type of the variable given as argument? If not, is
Hello,
To replicate Greene's example 9.3 (heteroskedasticity tests), in Gretl I
run the script:
open TableF9-1.txt
square Income
smpl Avgexp>0 --restrict
ols Avgexp const Age Income sq_Income Ownrent
modtest --white
modtest --white-nocross
With Gretl 1.9.11, everything goes fine: Gretl manages t
Hello,
I now detected the following problem. The script below runs in gretl
1.9.11, but will cause gretl 2016a to crash (I am using ubuntu 12.04, gretl
2016a is in a virtualbox).
nulldata 10
function series f1(series z)
series s=1
loop i=1..1
s[1]=0
endloop
return s
end fun
This works fine, thank you very much.
Pedro
On 1 March 2016 at 19:14, Allin Cottrell wrote:
> On Tue, 1 Mar 2016, Sven Schreiber wrote:
>
> Am 01.03.2016 um 19:44 schrieb Pedro Bação:
>>
>>> Hello,
>>> If I run the script
>>>
>>> nulld
Hello,
If I run the script
nulldata 10
smpl 6 10
series y=t
matrix my=y
smpl 1 5
series yy=my
print yy
in gretl 1.9.11 I get
gretl version 1.9.11
Current session: 2016-03-01 18:35
? nulldata 10
periodicity: 1, maxobs: 10
observations range: 1-10
? smpl 6 10
Full data range: 1 - 10 (n = 10)
Curre
Some time ago I came across a similar problem when using this function
for a class. At the time I made a note to myself saying that the
problem was in the definition of lobs, which I changed to:
scalar lobs=lastobs(y)
I hope this helps
On 28 September 2015 at 15:56, Ignacio Diaz-Emparanza
wrote
perhaps this will do it:
smpl 1 20
series x=movavg(y,0.5) # change the parameter 0.5
smpl 21 25
series f=x[20]
matrix f_stats=fcstats(y,f)
f_stats
smpl full
where y is the series to forecast, f has the forecasts, x is the smoothed
series and f_stats is the matrix with the forecast statistics. You
