I am using StatET/Eclipse successfully, but RBloomberg does not want to play
ball:
> conn <- blpConnect(log.level="finest")
R version 2.14.2 (2012-02-29)
rJava Version 0.9-3
RBloomberg Version 0.4-151
Java environment initialized successfully.
Looking for most recent blpapi3.jar file...
Adding
> I understand the desire not to have any dependency on additional
> packages, and I have no desire to engage in any "mine's better" exchanges.
> So write this just for the record.
> The gzunzip() function handle this.
Funnily enough I just discovered that RCurl already handles this: you
just need
I understand the desire not to have any dependency on additional
packages, and I have no desire to engage in any "mine's better" exchanges.
So write this just for the record.
The gzunzip() function handle this.
> library(RCurl); library(Rcompression)
> val = getURLContent("http://httpbin.org/gzip
> Well, it seems what you get there depends on the client, but I did
>
> tystie% curl -o foo "http://httpbin.org/gzip";
> tystie% file foo
> foo: gzip compressed data, last modified: Wed May 2 17:06:24 2012, max
> compression
>
> and the final part worried me: I do not know if memDecompress() know
On 02/05/2012 16:43, Hadley Wickham wrote:
I'm struggling to decompress a gzip'd raw vector in memory:
content<- readBin("http://httpbin.org/gzip";, "raw", 1000)
memDecompress(content, type = "gzip")
# Error in memDecompress(content, type = "gzip") :
# internal error -3 in memDecompress(2)
I'
>> I'm struggling to decompress a gzip'd raw vector in memory:
>>
>> content<- readBin("http://httpbin.org/gzip";, "raw", 1000)
>>
>> memDecompress(content, type = "gzip")
>> # Error in memDecompress(content, type = "gzip") :
>> # internal error -3 in memDecompress(2)
>>
>> I'm reasonably certain
Hi Ravi: As far as I know ( well , really read ) and Bert et al can say
more , the AIC is not dependent on the models being nested as long as the
sample sizes used are the same when comparing. In some cases, say comparing
MA(2), AR(1), you have to be careful with sample size usage but there is no
n
On 02/05/2012 14:24, Hadley Wickham wrote:
Hi all,
I'm struggling to decompress a gzip'd raw vector in memory:
content<- readBin("http://httpbin.org/gzip";, "raw", 1000)
memDecompress(content, type = "gzip")
# Error in memDecompress(content, type = "gzip") :
# internal error -3 in memDecompre
Comparing such disparate, non-nested models can be quite problematic. I am not
sure what AIC/BIC comparisons mean in such cases. The issue of different
constants should be the least of your worries.
Ravi
-Original Message-
From: r-devel-boun...@r-project.org [mailto:r-devel-boun...@r-
Hi all,
I'm struggling to decompress a gzip'd raw vector in memory:
content <- readBin("http://httpbin.org/gzip";, "raw", 1000)
memDecompress(content, type = "gzip")
# Error in memDecompress(content, type = "gzip") :
# internal error -3 in memDecompress(2)
I'm reasonably certain that the file
On 12-05-02 6:06 AM, Mauricio Zambrano-Bigiarini wrote:
Dear List,
While using the --as-cran option for checking one of my packages:
R CMD check --as-cran hydroGOF_0.3-3.tar.gz
I got the following error message:
pkgname<- "hydroGOF"
> source(file.path(R.home("share"), "R", "examples-heade
Dear List,
While using the --as-cran option for checking one of my packages:
R CMD check --as-cran hydroGOF_0.3-3.tar.gz
I got the following error message:
pkgname <- "hydroGOF"
> source(file.path(R.home("share"), "R", "examples-header.R"))
> options(warn = 1)
> library('hydroGOF')
Error in l
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