Have compiled gretl the current snapshot. It indeed loads the data
well!!!! :) :)
But!
When I try to assign panel data structure (ID_W for weave-time and
ID_I or REDID_I for individual) the app is killed once again :(
Message in terminal:
pad_panel_dataset: n*T = 65423*22 = 1439306 but dset->n = 335594
Killed
Thanks a lot!
Best,
Boris Demeshev
вт, 19 мар. 2019 г. в 08:43, Boris Demeshev <boris.demeshev(a)gmail.com>:
Wow!!!!!!!!!!!!!! That's great!!!!!!!!!!!
Will try with the current snapshot!
For the moment neigher R (haven) nor python (pandas) can't open this file.
Best,
Boris Demeshev
пн, 18 мар. 2019 г. в 23:19, Allin Cottrell <cottrell(a)wfu.edu>:
>
> On Sat, 16 Mar 2019, Boris Demeshev wrote:
>
> > Thanks a lot for the support!!!
> >
> > There are 4 files (individuals spss, individuals stata, households
> > spss, households stata). For the moment I can not open Individuals
> > files (neither stata nor spss). Will check with current build and
> > again next week! :)
>
> I've been working with the Stata individuals (longitudinal) file,
> USER_RLMS-HSE_IND_1994_2017_v2_eng.dta
>
> There was a bug (a typo, really) in our dta reader which prevented
> it from reading the "map" of offsets properly when some elements
> were bigger than 32-bit integers. That's now fixed in git and
> snapshots and I can open the file OK on a machine with 16 GB of RAM.
>
> It's a struggle on an older machine with 8 GB. The uncompressed
> Stata file is about 3.8 GB, and the gretl in-memory representation
> of the full dataset takes up almost 7 GB. That's because all data
> are stored as doubles in gretl -- we don't have a "byte" data type
> as in Stata, which permits economical encoding of dummy variables.
>
> However, if you plan to use only a relatively small subset of the
> 2723 series, you can open the dta file on a machine with plenty of
> RAM and save a subset in gretl native format. The reduced file will
> then be readable on most machines.
>
> Allin
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