On 17/06/2014 04:27, Mohan Radhakrishnan wrote:
Hi,
I am not relating this to shiny but this error was thrown by my
shiny server code. Does it have anything to do with low memory settings ?
No. It is an error in the C code in a package you are using which has
corrupted R internals and
Hi,
I am not relating this to shiny but this error was thrown by my
shiny server code. Does it have anything to do with low memory settings ?
I am spawning a JVM using rJava. That JVM is using the attach API to
connect to another JVM
Thanks,
Mohan
Error: C stack usage 140730070087404 is t
On 16/06/2014 23:21, Kate Ignatius wrote:
Hi All,
I'm trying to merge two files together using:
combinedfiles <- merge(comb1,comb2,by=c("Place","Stall","Menu"))
comb1 is about 2 million + rows (158MB) and comb2 is about 600K+ rows (52MB).
When I try to merge using the above syntax I get the e
peter dalgaard gmail.com> writes:
>
>
> On 16 Jun 2014, at 05:22 , array chip yahoo.com> wrote:
>
> > Hi, I am using clogit() from survival package to do conditional
> > logistic regression. I also need to make prediction on an
> > independent dataset to calculate predicted probability. Here
Hi All,
I'm trying to merge two files together using:
combinedfiles <- merge(comb1,comb2,by=c("Place","Stall","Menu"))
comb1 is about 2 million + rows (158MB) and comb2 is about 600K+ rows (52MB).
When I try to merge using the above syntax I get the error:
Error in merge.data.frame(comb1, comb
Thank you Peter. Any other suggestions are absolutely welcome!!
John
From: peter dalgaard
Cc: "r-help@r-project.org"
Sent: Monday, June 16, 2014 2:22 AM
Subject: Re: [R] prediction based on conditional logistic regression clogit
> Hi, I am using clogit
On Jun 16, 2014, at 2:34 PM, Nwinters wrote:
> I have gotten the this error before: "glm.fit: fitted probabilities
> numerically 0 or 1 occurred"
>
> and the problem was usually solved by combining one or more categories were
> there were no observations.
>
> I am now having this error show up
I have gotten the this error before: "glm.fit: fitted probabilities
numerically 0 or 1 occurred"
and the problem was usually solved by combining one or more categories were
there were no observations.
I am now having this error show up for a variable that is continuous (not
categorical).
What co
I am running R on daemon mode Rserve (to connect to java). It spits out a
constant flow output. Is there a way to turn it off or set it to rotate
etc. In other words I want to find out how R, Rserve handles logging.
[[alternative HTML version deleted]]
Suppose that I need to run a multivariate linear model
Y = X B + E
many times with the same model matrix X but each time with different
response matrix Y. Is there a function available in 'car' package
similar to refit() in lme4 package so that the model matrix X would
not be reassembled each tim
As I discuss today we are trying to do with my partner Steven Penaloza and
a small program of supervised classification of images with unconventional
using R methods, connecting libraries and own code of R to an environment
of JAVA, in our case we are using NETBEANS to interface, the connection
was
Hello,
I am trying to determine a lag order for my data with the help of AIC and/
or BIC in order to conduct further tests. It is about prices measured at a
daily frequency (weekends and holidays excluded).
1) My first approach was to approximate the process with an AR model using
the function a
Dear R mailing listers,
I am try to find the different power calculation for
p1=0.2 and p2=0.4 , with significant level=0.05 (one sided test)
I would like to have a graph y -axis as a power and
x-axis as a sample size .
I run this command for different value of power. and get the n and po
Dear R helpers
I have a problem of releasing memory after having read .xml-files using the xml
package (version 3.98-1.1, R 3.0.2, Windows 7, 64bit). The problem has appeared
previously and several solutions/bug fixes have been proposed. I went through
many of these and have also read (and unde
Hello,
I am trying to determine a lag order for my data with the help of AIC and/
or BIC in order to conduct further tests. It is about prices measured at a
daily frequency (weekends and holidays excluded).
My first approach was to approximate the process with an AR model using the
function ar(x,
Dear Joshua,
Thanks for your reply. As I see, the solution you suggest aligns the time
stamps as required but leaves the aggregation results as is.
Hence, the last quarter data of every hour are not aggregated still...
Am I right or am I understanding something wrongly?
I tried to "move" ahead
Dear Bernardo,
The df for the LR chisquare over-identification test come not from the number
of observations, but from the difference between the number of observable
variances and covariances, on the one hand, and free parameters to estimate, on
the other. In your case, these numbers are equal
There's a simple relation
t = r / sqrt(1 - r^2) * sqrt(n - 2)
r = t / sqrt(n - 2 + t^2)
where t has a t distribution on n-2 df. Insert t = +-qt(p/2, n-2).
-pd
On 16 Jun 2014, at 11:23 , Witold E Wolski wrote:
> Hi,
>
>
> Looking for and function which produces the minimum r (pearson
> cor
On Mon, Jun 16, 2014 at 3:41 AM, Costas Vorlow wrote:
> Dear all,
>
> Why aggregation of 15 minute xts data happens on the 45th (3rd quarter) and
> not the exact hour close (i.e., 00) time?
>
The "00" time is the beginning of the hour, not the end. E.g.,
10:00:00 is the beginning of the 10-o'cloc
thanks Suzen
2014-06-15 2:34 GMT+02:00 Suzen, Mehmet :
> There is a nice tutorial on this:
> http://adv-r.had.co.nz/OO-essentials.html
>
> For an in depth guide, have a look at the book from John Chambers,
> Software for data analysis programming with R.
>
> On 13 June 2014 12:20, Luca Cerone wr
Hi,
Looking for and function which produces the minimum r (pearson
correlation) so that H0 (r=0) can be rejected, given sample size and
p-value?
Witold
--
Witold Eryk Wolski
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On 16 Jun 2014, at 05:22 , array chip wrote:
> Hi, I am using clogit() from survival package to do conditional logistic
> regression. I also need to make prediction on an independent dataset to
> calculate predicted probability. Here is an example:
>
>
>> dat <- data.frame(set=rep(1:50,each=
Dear all,
Why aggregation of 15 minute xts data happens on the 45th (3rd quarter) and
not the exact hour close (i.e., 00) time?
For example, temp below is an xts sequence with 15-minute frequency:
> quarters <- ISOdatetime(2012,05,02,9,0,0) + seq(0:39)*15*60;
> set.seed(42);
> observation <- xts
Hi William,
I've just updated your latest package "psych_1.4.6.11.zip" from server
"personality-project/r/src/contrib/". One time the updating process was
finished, i tried to run based samples code:
require(psych)
keys.list=list(Agree=c(-1,2:5),Conscientious=c(6:8,-9,-10),Extraversion=c(-11,-12,
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