[R] Regressing the residuals on the country dummies

[Bert Gunter]

1. Have you checked out package Rpy/Rpy2?

2. I don't know Python, but as you seem to be trying to get data from
the web, see the Rcurl package, maybe, to do these things in R.

3.  Hopefully someone who does know Python can give you better answers.

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Thu, Aug 18, 2016 at 11:29 AM, Alemu Tadesse <alemu.tadesse at gmail.com> wrote:
> Dear All,
>
> I am wondering if someone knows an R equivalent of the following API call
> in python.
>
> "-----"
>
> import time
> import pandas as pd
> start_time = time.clock()
> timer =time.clock()
> import pkg_resources
> pkg_resources.require("pysimplesoap==1.05a")
> from pysimplesoap.client import SoapClient
>
>
> import os
> import numpy as np
>
>             client = SoapClient(wsdl="
> https://solardata.com/service.asmx?wsdl")
>             result = client.GetCsvWeatherData8(
>                 userName='alex at solardata.com',password='passw at word1
> ',licenseNumber='X1952c9wv',
>                 latitude=lati, longitude=loni,
>                 startDate='2013-02-10T00:00:00',
> endDate='2014-11-28T00:00:00',
>                 dataVersionId=8,
>                 spatialResolutionId='High1km',
>                 timeResolution='Minute',
>                 missingDataHandling='Blank',
>                 WindTemp=1,
>                 timeshift = 'No')
>
>             weather ={}
>             weather['csvWeather']=
> result['GetCsvWeatherData8Result']['csvWeather']
>
> Thanks,
>
> Alemu
>
>
> On Fri, Oct 2, 2015 at 12:31 PM, Linus Holtermann <holtermann at hwwi.org>
> wrote:
>
>> Hi,
>>
>> You have panel data or cross-sectional data? In the case you use
>> cross-sectional data and "countries" are your observations (no repeated
>> measure of them) and you regress the country-dummies on your residuals of
>> the forgone regression, then there are as many regressors as observations.
>> Consequently, is it not possible to estimate such a model since there are
>> no degrees of freedom left.
>>
>> Mit freundlichen Grüßen
>>
>>
>> Linus Holtermann
>> Hamburgisches WeltWirtschaftsInstitut gemeinnützige GmbH (HWWI)
>> Heimhuder Straße 71
>> 20148 Hamburg
>> Tel +49-(0)40-340576-336
>> Fax+49-(0)40-340576-776
>> Internet: www.hwwi.org
>> Email: holtermann at hwwi.org
>>
>> Amtsgericht Hamburg HRB 94303
>> Geschäftsführer: Prof. Dr. Henning Vöpel
>> Prokura: Dipl. Kauffrau Alexis Malchin
>> Umsatzsteuer-ID: DE 241849425
>>
>>
>> -----Ursprüngliche Nachricht-----
>> Von: R-help [mailto:r-help-bounces at r-project.org] Im Auftrag von Johanna
>> von Bahr
>> Gesendet: Donnerstag, 1. Oktober 2015 21:15
>> An: r-help at r-project.org
>> Betreff: [R] Regressing the residuals on the country dummies
>>
>> I’m trying to estimate a model regressing the residuals on the country
>> dummies as follows; model.resC <- lm(model2$res ~ as.factor(Country))
>> summary(model.resC)
>>
>> As I call the model I get the following results regarding the residuals:
>>
>> "ALL 90 residuals are 0: no residual degrees of freedom!"
>>
>> What has gone wrong?
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/
>> posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/
>> posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.