I don't know much about the Tidyverse, but more generally the way to
represent ordered categorical data is with a factor. This seems to work:
> testset$Observation <- factor(testset$Observation, levels=c("One", "Two",
"Three"))
> testset$Label <- factor(testset$Label, levels=c("Western", "Northern
I've cleaned up the findata repository, you should now be able to install
Rbbg as expected.
But that said, the package is no longer being actively developed. Recent
efforts have been taking place in the Rblpapi package. The interface is
similar, though not strictly compatible. If you're doing much
?file.info
On Wed, Nov 18, 2015 at 6:12 AM, WRAY NICHOLAS
wrote:
> Hi I have got a large folder with hundreds of csv files in it The
> problem is
> that some of them are junk, and I know which ones are junk because they
> were
> created on certain days, that is before I had honed the programme
> x <- array(1:18, dim=c(3, 2, 3))
> x
, , 1
[,1] [,2]
[1,]14
[2,]25
[3,]36
, , 2
[,1] [,2]
[1,]7 10
[2,]8 11
[3,]9 12
, , 3
[,1] [,2]
[1,] 13 16
[2,] 14 17
[3,] 15 18
> apply(x, 3, t)
[,1] [,2] [,3]
[1,]17 13
Regular expressions are the tool for this problem. This pattern
matches your input data:
t <- c("10H20M33S", "1H1M", "1M", "21M9S", "2H55S")
patt <- "^(([0-9]+)H)?(([0-9]+)M)?(([0-9]+)S)?$"
all(grepl(patt, t)) # TRUE
We can use the pattern to extract hour/minute/second components
hms <- lapply(c
That seems straightforward enough:
> x <- c(7, 7, 7, 2, 3, 2)
> match(x, x)
[1] 1 1 1 4 5 4
> ifelse(duplicated(x), match(x, x), 0)
[1] 0 1 1 0 0 4
On Tue, Nov 18, 2014 at 10:40 AM, Duncan Murdoch
wrote:
> On 18/11/2014 10:23 AM, Dennis Fisher wrote:
>>
>> R 3.1.1
>> OS X
>>
>> Colleagues
>>
>> W
At first pass it would seem that 'integer' would make a perfectly fine year
class. But for some reason it's disallowed:
> xts(rnorm(8), 2000L:2007)
Error in xts(rnorm(8), 2000L:2007) :
order.by requires an appropriate time-based object
Which is a bit unexpected, since xts descends from zoo and
Andre,
Does the batch script always fail, or is it sometimes successful? You've
probably tried running in batch and interactively one after the other, but
if not please do that to make sure it isn't a timing issue with the
Bloomberg connection.
Also, you can turn up the logging in Rbbg: conn <-
b
Tolga,
The Rbbg binary for 2.15 works for the .0, .1, and .2 minor versions. The
issue here is probably a change to the install.packages function that was
introduced in R 2.15.2. You can get around this by first calling
R> options(install.packages.check.source = "no")
and then following with the
Hi Dirk,
Thanks for the quick reply. Setting LD_LIBRARY_PATH does the trick, so
I can get by with that in my environment.
I would be happy to look into potential improvements. The ./configure
may work, but I installed littler through the debian package and thus
bypassed manual configuration. I'll
Hello list,
I'm having some difficulty getting rJava to load in littler. Even
after a R CMD javareconf and a reinstall of littler, I get this:
jlaing@xenon:~$ r -e "require(rJava)"
Loading required package: rJava
Loading required package: methods
Error : .onLoad failed in loadNamespace() for 'rJav
7.0_05-b05)
> Java HotSpot(TM) Client VM (build 23.1-b03, mixed mode, sharing)
>
> Thanks,
> Alex
>
> -Ursprüngliche Nachricht-
> Von: John Laing [mailto:john.la...@gmail.com]
> Gesendet: Montag, 9. Juli 2012 13:14
> An: Alexander Erbse
> Cc: r-help@r-project.org
Alexander,
I agree, this feels like a java version issue. You could start by
telling us what version of Java you're running: open a command prompt
and type java -verision, and reply with the output. I think any
version 1.5 and up should work, but let's see what you have.
-John
On Mon, Jul 9, 201
For 200,000 analyses at 1.5 seconds each, you're looking at ~83 hours
of computing time. You can buy time from Amazon at roughly $0.08 /
core / hour, so it would cost about $7 to run your analyses in the
cloud. Assuming complete parallelization you could fire up as many
machines as you need to get
The binaries for RBloomberg are hosted on findata.org. The package is
only useful in combination with a Bloomberg terminal, but users who
have access to one should not be deterred by its absence from CRAN.
John
On Thu, Apr 5, 2012 at 12:18 PM, Prof Brian Ripley
wrote:
> On 05/04/2012 08:54, arva
Hello,
These functions are not available in RBloomberg. As far as I can tell,
Bloomberg does not expose these functions in the general API; they are
specific to the Excel version.
R has other mechanisms for performing date arithmetic, both in the
Date class and the POSIXct/POSIXlt classes. This w
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