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='a...@solardata.com',password='passw@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 <holterm...@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: holterm...@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-boun...@r-project.org] Im Auftrag von Johanna > von Bahr > Gesendet: Donnerstag, 1. Oktober 2015 21:15 > An: r-help@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@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@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@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.