On Tue, Mar 2, 2010 at 6:18 PM, zahra sheikhbahaee
wrote:
> Hi,
> In python the results for a specific input look like this:
> ...
>
> Do you think whether there is a practical solution for my problem or not?
>
> Zahra.
You haven't explained how you got those two sets of output,
furthermore it do
Hi,
In python the results for a specific input look like this:
['modelName', 'n', 'd', 'G', 'BIC', 'bic', 'loglik', 'parameters', 'z',
'classification', 'uncertainty']
Mean:
[[ 0.20609646 -0.40144849]
[ 0.86991148 0.82791771]]
BIC:
[[-8035.90938198]
[-7677.29330621]]
1
0
Variance$sigma:
[[[ 1.23
On Tue, Mar 2, 2010 at 5:48 PM, zahra sheikhbahaee
wrote:
> Hi all,
>
> I am using mclust package of R. I checked the results which I have already
> covert by rpy2 to python by R's one. It calculates the covariance matrix of
> my data but I got surprised because it seems that the numbers changed.
Hi all,
I am using mclust package of R. I checked the results which I have already
covert by rpy2 to python by R's one. It calculates the covariance matrix of
my data but I got surprised because it seems that the numbers changed. They
are totally different. I wonder whether there is any way to sol
On 3/1/10 9:24 PM, Carson Farmer wrote:
> Laurent,
>
>> Interval does matter. The R server will timeout if it is too long. Try
>> lowering it. The documentation will have a note about that
>> (http://bitbucket.org/lgautier/rpy2/changeset/73bc2a415ba3/).
>
> Thanks for that... I seem to have (partia
