Hi,
The file handling code sometimes throws this exception.
Error in UseMethod("close") :
no applicable method for 'close' applied to an object of class "c
('integer', 'numeric')"
Is there a sample based on my code that I can test ? I want to extract the
file descriptors from the hashmap and
On Aug 7, 2013, at 11:23 PM, Kevin Parent wrote:
> Well that almost works, and I didn't know about duplicated() so thanks for
> that. However, it only gives me the duplicated values. I need the original
> ones too. So the result I want is: [g,g,m,m,s,s,t,t,u,u,u,v,v,x,x,y,y,y].
> What duplicat
Well that almost works, and I didn't know about duplicated() so thanks for
that. However, it only gives me the duplicated values. I need the original ones
too. So the result I want is: [g,g,m,m,s,s,t,t,u,u,u,v,v,x,x,y,y,y]. What
duplicated() gives me is [g,m,s,t,u,u,v,x,y,y]
Playing around wi
On Aug 7, 2013, at 11:03 PM, David Winsemius wrote:
>
> On Aug 7, 2013, at 10:37 PM, Kevin Parent wrote:
>
>> Hoping someone here can help me with this small problem.
>> set.seed(2013)
>>
>> x<-sort(c(letters,letters[sample(26,10,1)]))
>>
>> This gives a vector of 36 letters with some muliple
On Aug 7, 2013, at 10:37 PM, Kevin Parent wrote:
> Hoping someone here can help me with this small problem.
> set.seed(2013)
>
> x<-sort(c(letters,letters[sample(26,10,1)]))
>
> This gives a vector of 36 letters with some muliples (in this case,
> g,m,s,t,u,v,x,y). Now what I need is to get ri
Hoping someone here can help me with this small problem.
set.seed(2013)
x<-sort(c(letters,letters[sample(26,10,1)]))
This gives a vector of 36 letters with some muliples (in this case,
g,m,s,t,u,v,x,y). Now what I need is to get rid of the ones that only occur
once and keep the multiples. I nee
*Dear All,*
I am using Seasonal ARIMA model for predicting cloud workloads. I want to
know the running time complexity of building model by the algorithm
implemented in R (I am not sure, is it Yule-Walker?). I want to know if it
is polynomial O(n^2) etc. or exponential or linear (O(n)). Can someo
Dear J?nis,
On Wed, 7 Aug 2013 12:36:11 +0300
J?nis Mucenieks wrote:
> Hello!
> I'm trying to do some confirmatory factor analysis with for ordered Likert
> scale items using sem and lavaan packages. So far I have read a lot and
> searched a lot but working example has so far eluded me. Can some
Thomas Cameron emg.umu.se> writes:
> Dear R users
> I am trying to estimate parameter values for function
> using optim in the mle2 function in the bbmle package but I cannot
> get past the above error message.
[snip]
> # load packages
> library(bbmle)
> library(emdbook)
>
> # specify th
On Tue, 6 Aug 2013, David Winsemius wrote:
Look at the code. You are attributing behavior to `summaryBy` that
should be ascribed to `print.data.frame`, and to `format.data.frame`.
Your function is returning a numeric vector and getting displayed by
`print.default`.
Thanks! That's the thing
Thank you so much Richard. Your solution worked like a charm. I worked out my
weight vector w for each type of my plots and the results were smooth as butter.
Sure I shall be succinct in display of code and data inside correspondence to
r-help in future. Dennis gave me a few tips on how to d
Dear R users
I am trying to estimate parameter values for function using optim in the mle2
function in the bbmle package but I cannot get past the above error message.
I am trying all the recommendations in the optim manual and the answers to this
question so far in the archive so I assume I ha
A short self contained code would help us help you.
You can try using "str" on the output of the command you are using, and try
to understand where the p.value is located.
Tal
Contact
Details:---
Contact me: tal.gal...@gmail.
Hi Tjun,
It sounds like you need to go on an NA hunt (e.g: find your missing values
in the data).
Maybe try running this code:
ss <- which(apply(is.na(forsen[,-f]), 1, sum)>0)
forsen[ss,-f]
And try to see if you can find these rows.
You can also use the above data to find which rows to remove a
Hi,
I'm doing research with biodata where I'm trying to predict disease state
from many biomarkers. Unfortunately it's not a common disease, so the
sample size is small. When I run the model as a glm, it has separation
issues.
Consequently, I ran the model using logistf with no problems. Now, how
Dear:
I needed to calculate partial correlations and used the package corpcor for
that purpose.
The output doesnot provide p values and I was unable to find information or
posts on how to get them.
Does someone can help me?
Thanks.
--
Dr. Demetrio Luis Guadagnin
Conservação e Manejo de Vida Silve
Thank you, I'll post there.
Regards,
Alan
On Wed, Aug 7, 2013 at 1:14 PM, Bert Gunter wrote:
> I think it's fair to say that this should really be posted on the
> mixed-model specific (especially using lme4) list r-sig-mixed-models
> and not here.
>
> Cheers,
> Bert
>
> On Wed, Aug 7, 2013 at
Dear all,
I am writing a package with some of my favorite custom functions so that I can
share them with others. I do not have a lot of experience building these
packages and I apologize if this is a trivial question.
The issue I am having is with the generic function unlist used to unlist
GRa
Hello,
Also note that the index to datalist should be i + 1, 0 is not an
allowed index number.
datalist[[i + 1]] <- read.table(...)
Hope this helps,
Rui Barradas
Em 07-08-2013 20:10, David Winsemius escreveu:
On Aug 7, 2013, at 11:31 AM, Philipp Rath wrote:
Hello r-community,
my name
What probably is the problem is that read.table.ffdf uses the nrows
argument to read the file in chunks. However, read.fwf doesn't use a
nrow argument but a n argument.
One (non tested) solution is to write a wrapper around read.fwf and pass
this wrapper to read.table.ffwf. Something like:
On Aug 7, 2013, at 11:31 AM, Philipp Rath wrote:
> Hello r-community,
>
> my name is philipp and i´m studying economics at the university of bonn.
> I´m writing a paper about an experimental entry game and need help to write a
> for loop.
>
> for (i in 0:7) {
>
> data <- read.table("~/Uni/SoS
Dear Christian,
Well... it shouldn't normally do that. The only way I can currently
think of that might cause this problem is that the file has \r\n\r\n,
which would mean that every line is followed by an empty line.
Another cause might be (although I would not really expect the results
you
Hello r-community,
my name is philipp and i´m studying economics at the university of bonn.
I´m writing a paper about an experimental entry game and need help to write a
for loop.
for (i in 0:7) {
data <- read.table("~/Uni/SoSe
13/Bachelorarbeit/entryGameAnalysis/analysis/data/23.04.13...10H/G
Michael:
Hi. I am a grad student and I'm currently using the MOB function in the
R party package and I had a question. I am working on an environmental
problem with about 100 predictors. I am having trouble determining which
predictors to use for regression and which for partitioning, is there
I think it's fair to say that this should really be posted on the
mixed-model specific (especially using lme4) list r-sig-mixed-models
and not here.
Cheers,
Bert
On Wed, Aug 7, 2013 at 9:01 AM, Alan Mishler wrote:
> Hi everyone,
>
> I'm writing with a question about lmer( ) in the lme4 package.
Hi. I am a grad student and I'm currently using the MOB function in the R party
package and I had a question. I am working on an environmental problem with
about 100 predictors. I am having trouble determining which predictors to use
for regression and which for partitioning, is there any sort o
Hi everyone,
I'm writing with a question about lmer( ) in the lme4 package. I've
searched around for
answers and done quite a bit of experimentation with toy data sets to
figure out my issue, and I haven't been able to resolve it.
I'm running linear mixed effects models on a large, sparse dataset
I think we would need to see the odt file. You might want to upload it to
some place like www.mediafire.com or www.dropbox.com so that R-help readers
can take a look at it.
John Kane
Kingston ON Canada
> -Original Message-
> From: cougar...@hotmail.com
> Sent: Tue, 6 Aug 2013 14:20
I'm running Rx64 3.01 on Windows 7 and until the other day I could easily
unzip zip files with unzip (package utils 3.01). Since yesterday however I
get an error. Let's say my zipfile file path is called zfile (I'm omitting
the output directory for this example). When I try to unzip it I get the
fo
Hello!
I'm trying to do some confirmatory factor analysis with for ordered Likert
scale items using sem and lavaan packages. So far I have read a lot and
searched a lot but working example has so far eluded me. Can someone please
take a look at the data and tell me if what I'm doing is correct (lav
I don't know how many files you are planning to open, but what you
also might run into is the maximum number of connections namely 125.
See ?file.
Jan
mohan.radhakrish...@polarisft.com schreef:
Hi,
I thought that 'R' like java will allow me to store file names
(keys) and file d
> Use
>
> assign(key, file( key, "w" ), envir=cpufile)
>
> In your assign expression you are assigning cpufile to the third formal
> argument which is
> pos.
> You meant the envir argument, I presume.
Or use the syntax
cpufile[[key]] <- file(key, "w")
instead of
assign(key, file( key, "
Hi Ernesto,
I think the issue is that the mahal function treats the arguments
differently depending on the class.
If you pass the arguments x and p as raster and data.frame/matrix, it
will use the values of x at the locations defined in p as training data.
If you pass a data.frame, it will assu
Rolf,
It's great that you provided example data and code. It's helpful if you
provide data in a way that's easy for others to run. For example, you can
use the output from the call to the dput() function.
dput(dtot)
dput(newtot)
Then you could share the example data like this:
# TRAINING data..
Hello,
Please send questions to R-Help, r-help@r-project.org.
As for your question, how have you imported the file, what command have
you used?
Rui Barradas
Em 07-08-2013 11:59, waqas shafqat escreveu:
plz sir i have tried diallel analysis in r. i import the file and when
entered command,
On 07-08-2013, at 12:13, mohan.radhakrish...@polarisft.com wrote:
>
> Hi,
>I thought that 'R' like java will allow me to store file names
> (keys) and file descriptors(values) in a hashmap.
>
>
> filelist.array <- function(n){
> sink("nmon.log")
> cpufile <- new.env(hash=T, parent=em
Dear Stella,
The sem package doesn't make provision for count data. Because the sem()
function allows the user to specify an arbitrary objective function, if you
know the likelihood for the model that you want to fit, you could in principle
write a corresponding objective function, but this wou
On Fri, 02-Aug-2013 at 01:14PM -0700, alina andrei wrote:
|> Hello,
|> ?
|> I am running an R job on a Windows 7 machine, having 4 cores and
|> 16GB RAM?, R 3.0.1,?and it takes 1.5 hours to complete. I am
|> running the same job in R on a Linux enviroment (Platform:
|> x86_64-redhat-linux-gnu (6
Hi,
I thought that 'R' like java will allow me to store file names
(keys) and file descriptors(values) in a hashmap.
filelist.array <- function(n){
sink("nmon.log")
cpufile <- new.env(hash=T, parent=emptyenv())
for (i in 1:n) {
key <- paste("output", i, ".txt", sep = "")
as
Hi
I have a problem with getting stuck in the number of rows that the first
data group has when looping.
Let me explain the program:
I want to run randomForest on 200 stocks and get scores of each of them.
First I shall point at the training data set file(with data from 200 stocks)
then I
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