Hello,
Please read carefully the message. It says you three times that the
name is "rJava", not "rjava".
Regards,
Pascal
On 5 December 2013 13:19, tlw1987 [via R]
wrote:
> Hello, everybody , recently , I want to install the package "rjava" in
> windows 7 64bt. But it can not success.This error
Hello, everybody , recently , I want to install the package "rjava" in
windows 7 64bt. But it can not success.This error messages is as follow:
install.packages("rjava")
Warning in install.packages :
package ârjavaâ is not available (for R version 3.0.2)
Warning in install.packages :
Perhap
FYI, in R.utils (>= 1.28.4) you can use listDirectory() to control how
deep the recursion goes, which would give you protection against your
problem, e.g.
R.utils::listDirectory("dir", recursive=5L)
where recursive=0L is equivalent to recursive=FALSE. Using
recursive=TRUE corresponds to recurs
On Wed, Dec 4, 2013 at 6:53 PM, Greg Snow <538...@gmail.com> wrote:
> As you have noticed, using assign is not simple, and your approach has
> potential to cause even more problems even if you get it working.
> Here is another approach:
>
> loadCSVfiles <- function(path) {
> x <- list.files(path,
As you have noticed, using assign is not simple, and your approach has
potential to cause even more problems even if you get it working.
Here is another approach:
loadCSVfiles <- function(path) {
x <- list.files(path, full.names=TRUE)
out <- lapply( x, read.csv )
names(out) <- sub(pattern="\
have you looked at the ROCR package?
there are at least a few ways to plot multiple ROC curves with the
ROCR functions that come to mind.
e.g. if you pass lists of 'scores' and 'labels' in to the
prediction(...) method, the default plot(...) method will display all
of the ROC (or precision-recall,
Hi R Experts,
The info in this link suggests that plot in the pROC package can only compare
two ROC curves at one time.
https://stat.ethz.ch/pipermail/r-packages/2011/001220.html
But this is from a couple of years ago. Curious if that has changed and if
anyone knows how to plot more than one RO
If you are using the nnet package, the caret package has a variable
importance method based on Gevrey, M., Dimopoulos, I., & Lek, S. (2003).
Review and comparison of methods to study the contribution of variables in
artificial neural network models. Ecological Modelling, 160(3), 249-264. It
is base
Dear R-Helpers,
I posted two days ago on testing significance of random effects in mgcv,
but realize I did not make my overall purpose clear. I have a series of
N short time series, where N might range from 3-10 and short means a
median of 20 time points. The sample data below (PCP) has N = 4
Try:
theme(axis.title=element_text(face="bold",size="14",color="brown"),axis.text=element_text(size=14,face="bold"))
A.K.
How can I increase the size and make bold of the items named under
outcome in the example data set? I can make changes to label outcome,
but not to individual componen
?RSiteSearch
cheers,
Rolf Turner
On 12/05/13 03:22, Iman Chambari wrote:
hi all,
i have a question about R
this code for me not work: predict.arfima(x)
error: could not find function predict.arfima
i test other same code that error again : pred.arfima predict.arima
pred.arima
i in
... or, more simply
lm(z ~ polym(x,y, degree=2) )
?polym
Cheers,
Bert
On Wed, Dec 4, 2013 at 10:30 AM, David Winsemius wrote:
>
> On Dec 4, 2013, at 8:56 AM, Duncan Murdoch wrote:
>
>> On 04/12/2013 11:36 AM, Jun Shen wrote:
>>> Hi,
>>>
>>> I have a dataset with two independent variables (
On Dec 4, 2013, at 8:56 AM, Duncan Murdoch wrote:
> On 04/12/2013 11:36 AM, Jun Shen wrote:
>> Hi,
>>
>> I have a dataset with two independent variables (x, y) and a response
>> variable (z). I was hoping to generate a response surface by plotting x, y,
>> z on a three dimensional plot. I can pl
Hello all,
I need to perform the following integration where the integrand is the
product of three functions:
f(x)g(y)z(x,y)
the limits of x are(0,inf) and the limits of y are(-inf,inf).
Could this be done using R? I tried using the function integrate 2 times,
but it didn't work:
z<- function(x,
XLSolutions R course in Boston December 19-20. Please email me for
registration.
Check out other cities at
http://www.xlsolutions-corp.com/courselistlisting.aspx
Ask for group discount and reserve your seat Now - Earlybird Rates.
Payment due after the class! Email Sue Turner: sue at
xlsolutions
a) Cross posting is not something to apologize for... it is something to not do.
b) This message is off topic here. Please read the Posting Guide mentioned in
the footer of this or any other any R-help message before posting here again.
[ I've also sent this message to other lists. Sorry for multiple messaging ]
Dear colleagues,
I want to perform a repeated measures two-way ANOVA (two fixed crossed
factors). I've found the way to do it (in SPSS, and also in R), but anyway
I think my data don't meet the requirements for that anal
On 04/12/2013 1:30 PM, David Winsemius wrote:
On Dec 4, 2013, at 8:56 AM, Duncan Murdoch wrote:
On 04/12/2013 11:36 AM, Jun Shen wrote:
Hi,
I have a dataset with two independent variables (x, y) and a response
variable (z). I was hoping to generate a response surface by
plotting x, y,
z on
I have a concern about the survAUC package option AUC.cd.
I am exploring package functionality, specifically AUC statistics for Cox
Regression, for a small academic project
When utilizing this package on the ovarian data set within that package I
obtain an AUC statistic of 0.3322928. When AUC
On 04/12/2013 11:36 AM, Jun Shen wrote:
Hi,
I have a dataset with two independent variables (x, y) and a response
variable (z). I was hoping to generate a response surface by plotting x, y,
z on a three dimensional plot. I can plot the data with rgl.points(x, y,
z). I understand I may not have e
Hi Jun,
I'd for a local fitting by means of the loess() function. Assuming z is the
third axis:
x<-runif(25)
y<-runif(25)
z<-runif(25)
xyz.fit <-
loess(z~x+y,control=loess.control(surface='direct'),span=.5,degree=1) #tune
parameters as you like
z.predict <-matrix(predict(xyz.fit,cbind(x,y)),5,5
Hi,
I have a dataset with two independent variables (x, y) and a response
variable (z). I was hoping to generate a response surface by plotting x, y,
z on a three dimensional plot. I can plot the data with rgl.points(x, y,
z). I understand I may not have enough data to generate a surface. Is there
You can try something like this:
http://pubs.acs.org/doi/abs/10.1021/ci050022a
Basically similar idea to what is done in random forests: permute predictor
variable one at a time and see how much that degrades prediction performance.
Cheers,
Andy
-Original Message-
From: r-help-boun...@r
Thank you, Simon.
On 12/4/2013 1:02 AM, Simon Wood wrote:
> Question. Am I correct that p = .126 above can be taken as the
> p-value associated with the random effect?
- Yes. See
http://biomet.oxfordjournals.org/content/100/4/1005.abstract
for details of the approximate test used.
On 03/
Dear All,
I am struggling with a 3D Strip Packing problem.
Briefly: you have a set of boxes (cuboids of variable sizes) that you want
to put inside a (large) container of finite width and length (which are
larger than those of any of the boxes) and infinite depth.
The goal is to minimize the f
Hi Kristi,
No problem.
Try:
library(stringr)
dat1[,1] <- factor(str_trim(dat1[,1]),labels=paste0(c(4,2,6,7,1,5,3),
levels(factor(str_trim(dat1[,1] )
dat1[,1]
# [1] 1south 2north 3west 4east 1south 2north
# [7] 5southeast 4east 6northeast 7northwest 1south
Hi everybody,
I created a neural network for a regression analysis with package ANN, but
now I need to know which is the significance of each predictor variable in
explaining the dependent variable. I thought to analyze the weight, but I
don't know how to do it.
Thanks in advance,
Giulia Di Lauro.
Dear R Users,
please find attached what I believe to be the solution to my problem. Note
that I am still not 100% sure if my approach really does what it is intended
to do and if it is applicable to my case at all.
Any comment or correction is highly appreciated.
Best wishes,
Philipp
#
Dear all,
I have just written the self-starting power law function myself. Here it is:
##
# Self-starting power law function written by C. Scherber
powermodel=function(x,a,b,c)
{a+b*x^c}
powermodelInit=function(mCall,LHS,data){
xy=sortedXyData(mCall[["x"]],LHS,data)
lmFit1=lm(xy[,"y"]~1) #for "
Dec 04, 2013; 4:14pm Berend Hasselman" wrote:
On 04-12-2013, at 07:52, snow <[hidden email]> wrote:
> I'm a beginner with R.
>
> I have two vectors in character format. I tried to get the intersection of
> these two vectors using intersectï¼ï¼. But there is no result. The process
> is below:
>
Hi, Kristi,
I have adapted the interaction plot example of function panel.average() of
the lattice package and modified the code of panel.average() to a new
function panel.loc_and_scale(). See below. (There might be a much simpler
solution, though.)
Remark on the side: I can't resist to poin
Dear All,
I tried to compile httpuv_1.2.0 and got a lot of errors. See below.
Compiling 1.0.6.3 was successful, but I need the latest version for "shiny".
Any ideas how to fix this cpp-file problem ?
Kind regards
Hans
# R CMD INSTALL .
* installing to library '/usr/local/lib/R/library'
* ins
Dear all,
Has anyone written a self-starting power law function of the form
mypower=function(x,a,b,c){a+b*x^c}
?
Or is there a nonlinear regression package containing more selfStart()
functions than nlme?
Thank you very much for your help!
Best wishes
Christoph
[running R 3.0.1 on Windows 7
> Question. Am I correct that p = .126 above can be taken as the
> p-value associated with the random effect?
- Yes. See
http://biomet.oxfordjournals.org/content/100/4/1005.abstract
for details of the approximate test used.
On 03/12/13 20:09, William Shadish wrote:
Dear R-helpers,
I would
On 04-12-2013, at 07:52, snow <7146...@qq.com> wrote:
> I'm a beginner with R.
>
> I have two vectors in character format. I tried to get the intersection of
> these two vectors using intersect（）. But there is no result. The process is
> below:
>> a<-c("CREB2” ,“ELK1” ,“ELK4” ,“MYC” ,“NR4A1” ,
the vectors in you first example look like a long character string since I only
see quote marks at the beginning and end and notbon the individual objects, but
it is hard to tell since it appears to be in HTML.
Sent from my iPad
On Dec 4, 2013, at 1:52, "snow" <7146...@qq.com> wrote:
> I'm a b
On Dec 3, 2013, at 12:45 PM, Juan Manuel Reyes S wrote:
> Dear R-project
>
> I could not validate one logistic model because when I used the function
> lrm.fit of the package rms the program showed a error message. It said that
> the variable Clam and offset must have same length.
Giving argume
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