I am begining to use Quandl facilities to import datasets to R with Quandl R API. It appears to be the easiest thing. However I have a problem. The below pasted snipet of code does not work (for me). It returns an error.
library(Quandl)
my_quandl_dtst <- Quandl("DOE/RBRTE")
Error in function (type, msg, asError = TRUE) : couldn't connect to host
What could be the cause of the problem?
I searched this site and found some solutions, also the one below, but it does not work for me.
set_config(use_proxy(url='your.proxy.url',port,username,password))
On the other hand, read.csv with url pasted from quandl website export dataset facility works:
my_quandl_dtst <- read.csv('http://www.quandl.com/api/v1/datasets/DOE/RBRTE.csv?', colClasses = c('Date' = 'Date'))
I would realy like to use the Quandl library, since using it would make my code cleaner. Therefore I would appreciate any help. Thanks in advance.
Ok, I found the solution, I had to set RCurlOptions, because the Quandl function uses getURL() to download data from url. But I had to use options() function as well. So:
options(RCurlOptions = list(proxy = "my.proxy", proxyport = my.proxyport.number))
head(quandldata <- Quandl("NSE/OIL"))
Date Open High Low Last Close Total Trade Quantity Turnover (Lacs)
1 2014-03-03 453.5 460.05 450.10 450.30 451.30 90347 410.08
2 2014-02-28 440.0 460.00 440.00 457.60 455.55 565074 2544.66
3 2014-02-26 446.2 450.95 440.00 440.65 440.60 179055 794.24
4 2014-02-25 445.1 451.75 445.10 446.60 447.20 86858 389.38
5 2014-02-24 443.0 449.50 443.00 446.50 446.30 81197 362.33
6 2014-02-21 447.9 448.65 442.95 445.50 446.80 95791 427.32
我猜您需要检查域quand1.com是否接受与RBRTE.csv文件的远程连接。
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