9:38 a.m.
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
10:16 a.m.
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:
index norm
1910 1 15
1911 2 1
1912 3 60
!
I see no problem here. Annual data from 1910 to 2009 are correctly
shown. (Gretl from CVS with Ubuntu 12.04).
--
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11:09 a.m.
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 in R console
> > gretldata
> What I obtained started as follows:
> index norm
> 1910 1 15
> 1911 2 1
> 1912 3 60
>
> !
I see no problem here. Annual data from 1910 to 2009 are correctly shown.
(Gretl from CVS with Ubuntu 12.04).
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 a numeric input as a double would lose
accuracy."
So if we happen to print data for consumption by R with more than (I
suppose) 16 significant digits it gets silently borked.
Allin
11:31 a.m.
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 a numeric input as a double would lose
accuracy."
So if we happen to print data for consumption by R with more than (I
suppose) 16 significant digits it gets silently borked.
How nice of them.
-------------------------------------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti(a)univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
-------------------------------------------------------
1:19 p.m.
On 25-04-2014, at 17:09, Allin Cottrell <cottrell(a)wfu.edu> 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(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
>>
>> !
>
> I see no problem here. Annual data from 1910 to 2009 are correctly shown.
> (Gretl from CVS with Ubuntu 12.04).
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 a numeric input as a double would lose
accuracy."
So if we happen to print data for consumption by R with more than (I
suppose) 16 significant digits it gets silently borked.
I copied the first 21 lines of the file written by Gretl to a new .csv ( see the attached
file).
And used this R code:
gdata <- read.table("gretldat.csv",
header=TRUE,colClasses="numeric")
gdata
str(gdata)
print(gdata,digits=16)
to read the data.
This seem prints the data correctly and in addition all columns of gdata are numeric.
Berend
11:23 a.m.
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 console
> > gretldata
> What I obtained started as follows:
> index norm
> 1910 1 15
> 1911 2 1
> 1912 3 60
>
> !
I see no problem here. Annual data from 1910 to 2009 are correctly
shown. (Gretl from CVS with Ubuntu 12.04).
Nor here. (Gretl 1.9.15cvs for Windows x64 (Windows 8.1))
3788
days inactive
3788
days old
6 comments
6 participants
participants (6)
-
"Juan C. Estévez" -
Allin Cottrell -
Berend Hasselman -
Ignacio Diaz-Emparanza -
oleg_komashko＠ukr.net -
Riccardo (Jack) Lucchetti