Displaying 20 results from an estimated 500 matches similar to: "energy 1.1-0 with dcov"
2004 Mar 31
0
energy 1.0.1
R Users,
We would like to announce that Version 1.0.1 of the energy package is
now available on CRAN.
The energy package introduces a new class of statistical tests based
on the concept of Newton's potential energy. Included in the package are
* mvnorm.etest (test) and mvnorm.e (statistic)
A rotation invariant multivariate goodness-of-fit test,
implemented for testing
2004 Mar 31
0
energy 1.0.1
R Users,
We would like to announce that Version 1.0.1 of the energy package is
now available on CRAN.
The energy package introduces a new class of statistical tests based
on the concept of Newton's potential energy. Included in the package are
* mvnorm.etest (test) and mvnorm.e (statistic)
A rotation invariant multivariate goodness-of-fit test,
implemented for testing
2007 Jul 08
0
dcov (the documentation analyzer for Ruby code) v.0.1.0 released!
I pushed version 0.1 of my Google Summer of Code project -- dcov -- to
RubyForge yesterday, and I hope you guys can take advantage of it (and
let me know if it breaks! :)).
dcov is a tool to help you analyze the documentation of your Ruby
code. At the present, it only checks for the presence of
documentation and generates a report based on that, but in the future
it will check for
1998 Oct 19
0
WIN 98 password problem (again)
Szekely Denes wrote:
>
> Three days ago I had a mad ideea to install Win 98 on my PC. Until this
> date I cannot map or access from WINDOWS my user directory and any other
> shared resurces on the SCO, because my password is rejected.
>
And some others answered...
At first, I wanted to post a response to Szekely only, not CC'd to the
list, as this is _not_ a new topic for the
2008 May 22
1
How to account for autoregressive terms?
Hi,
how to estimate a the following model in R:
y(t)=beta0+beta1*x1(t)+beta2*x2(t)+...+beta5*x5(t)+beta6*y(t-1)+beta7*y(t-2)+beta8*y(t-3)
1) using "lm" :
dates <- as.Date(data.df[,1])
selection<-which(dates>=as.Date("1986-1-1") & dates<=as.Date("2007-12-31"))
dep <- ts(data.df[selection,c("dep")])
indep.ret1
2005 Jun 17
0
another aov results interpretation question
I commend you to (a) the recent article by Doug Bates on "Fitting
nonlinear mixed models in R" pp. 27-30 in the latest issue of "R News"
available from "www.r-project.org" -> Newsletter and (b) Doug's book
with Pinheiro (2000) Mixed-Effects Models in S and S-PLUS (Springer). I
suggest you try the same analysis using in "lmer", library(lme4), and
2012 Sep 29
1
Unexpected behavior with weights in binomial glm()
Hi useRs,
I'm experiencing something quite weird with glm() and weights, and
maybe someone can explain what I'm doing wrong. I have a dataset
where each row represents a single case, and I run
glm(...,family="binomial") and get my coefficients. However, some of
my cases have the exact same values for predictor variables, so I
should be able to aggregate up my data frame and
2007 Nov 15
1
Problems working with large data
Hi,
I'm working with a numeric matrix with 55columns and 581012 rows and I'm having problems in allocation of memory using some of the functions in R: for example lda, rda (library MASS), princomp(package mva) and mvnorm.etest (energy package). I've read tips to use less memory in help(read.table) and managed to use some of this functions, but haven't been able to work with
2013 Mar 21
4
easy way of paste
Hello,
Is there a better way to use paste such as:
a = paste(colnames(list.indep)[1],colnames(list.indep)[2],colnames(list.indep)[3],colnames(list.indep)[4],colnames(list.indep)[5],sep="+")
> a
[1] "aa+dummy1+dummy2+bb+cc"
I tried
a = paste(colnames(list.indep)[1:5],sep="+")
> a
[1] "aa" "dummy1" "dummy2"
2013 Oct 31
1
an rpy2, R cgi type question
Hi again.
I'm putting together a little project with R, python, and a website. So I
have an HTML file, a py file, an R file.
Here is the HTML file:
<form action="/cgi-bin/radio4.py" method="post" target="_blank">
<input type="radio" name="subject" value="Integrate" /> Integrate
<input type="radio"
2012 Jan 15
1
Need help interpreting the logit regression function
Hello R community,
I have a question about the logistic regression function.
Specifically, when the predictor variable has not just 0's and 1's,
but also fractional values (between zero and one). I get a warning
when I use the "glm(formula = ... , family = binomial(link =
"logit"))" which says:
"In eval(expr, envir, enclos) : non-integer #successes in a binomial
2013 Mar 22
0
predict.Arima error "'xreg' and 'newxreg' have different numbers of columns"
Hello all,
I use arima to fit the model with
fit <- arima(y, order = c(1,0,1), xreg = list.indep, include.mean = TRUE)
and would like to use predict() to forecast:
chn.forecast <- rep(0,times=num.record)
chn.forecast[1] <- y[1]
for (j in 2:num.record){
indep <- c(aa=chn.forecast[j-1], list.indep[j,2:num.indep]) # this is the newxreg in the
2009 Feb 03
1
How to show variables used in lm function call?
Hello R users,
I am new to R and am wondering if anyone can help me out
with the following issue: I wrote a function to build ts models using
different inputs, but when R displays the call for a model, I cannot tell
which variables
it is using because it shows the arguments instead of the real variables
passed to the function.
(e.g
Call:
lm(formula = dyn(dep ~ lag(dep, -1) + indep)) --->
2010 Mar 11
0
Different results for different order of factor levels?
Dear R community,
I am a newbie to R and I am using lme() to analyzed a two way repeated
measures ANCOVA on some data I have gathered. In producing some
graphs based on the fixed effects I noticed that I get vary different
results depending on how I order my levels in my factor statement (see
code below). Now, I have read that different models treat data from
the factor class
2010 Nov 10
4
Installing R and an editor on a USB drive
Hi,
I have adviced my students to install R and an editor on a USB drive for
working in the computer class. With R everything works fine following these
instructions: http://personal.bgsu.edu/~mrizzo/Rmisc/usbR.htm.
But several editors (e.g., Tinn-R and WinEdt) require administrator rights.
I have found out that Emacs (Vincent Goulet's Emacs for Windows Modified
2008 Apr 26
0
Consistency of m-shapiro.test
Hello all,
I tried several experiments with the mshapiro.test package in R and compared
it with the energy package to test for multivariate normality and find that
the mshapiro.test is not consistent which is a bit concerning and has
suspicious behavior. On the other hand the energy test seems to be a more
appropriate test for testing multivariate normality in any dimension. I
looked for the
2009 Jun 21
2
Help on qpcR package
I am using R on a Windows XP professional platform.
The following code is part of a bigger one
CODE
press=function(y,x){
library(qpcR)
models.press=numeric(0)
cat("\n")
dep=y
print(dep)
indep=log(x)
print(indep)
yfit=dep-PRESS(lm(dep~indep))[[2]]
cat("\n yfit\n")
print(yfit)
yfit.orig=yfit
presid=y-yfit.orig
press=sum(presid^2)
1998 Oct 17
1
SAMBA digest 1846
> Date: Fri, 16 Oct 1998 18:07:45 -0700
> From: RICK_@t-online.de =?ISO-8859-1?Q?(J=DCRGEN?= ANZER)
> To: dszekely@csoft.ro
> Subject: Re: WIN 98 password problem
> Message-ID: <3627EDE1.38A@t-online.de>
>
> Szekely Denes wrote:
> >
> > Three days ago I had a mad ideea to install Win 98 on my PC. Until this
> > date I cannot map or access from WINDOWS
2008 Sep 03
1
test if all predictors in a glm object are factors
I'm trying to develop some graphic methods for glm objects, but they
only apply for models
where all predictors are discrete factors. How can I test for this in a
function, given the
glm model object?
That is, I want something that will serve as an equivalent of
is.discrete.glm() in the following
context:
myplot.glm <-
function(model, ...) {
if (!inherits(model,"glm"))
2009 Aug 21
1
trouble with Vista & reading files
All,
I am having trouble with a "read.table()" function that is inside of
another function. But if I call the function by itself, it works fine.
Moreover, if I run the script on a Mac OS X (with the default Mac OS X
version of R installed, rev 2.8), it works fine. But it does not work if I
run it on windows vista (also default Windows version of R, rev. 2.8).
Again, both