On 14.11.2011 22:42, Gene Leynes wrote:
I have had similar problems.
I have several installations of R and now I have no control over which one
opens when I try opening a RData file. The RGUI is registered more than
once, but they all have the exact same appearance in the "choose programs"
menu
Haven't followed this thread, but...
1) IF you are on WIndows and
2) IF you like to open R and load .Rdata files by double clicking on the
files
THEN
if you right click on the file, the "Open With" dialog allows you to browse
to_particular_ RGui (presumably the latest) you wish to use and there i
Thanks Michael,
But I can't see the dates on the NEWS so I have no idea what changed from
last version or from whichever version we actually have installed. Do you
see what I mean?
Thanks,
Xu
--
View this message in context:
http://r.789695.n4.nabble.com/changelog-for-MASS-tp4034473p4040941.ht
Just to provide some closure:
I ended up dividing the IV by its max so that the input vector (IV) is
now between zero and one. I still used optim:
myopt <- optim(fn=myfunc, par=c(1,1), method="L-BFGS-B", lower=c(0,0))
I was able to get great fit, in 3 cases out of 10 I've beaten Excel
Solver, but
I'm trying to use gsDesign for a noninferiority trial with binary
endpoint. Did anyone know how to specify the trial with different sample
sizes for two treatment groups? Thanks in advance!
[[alternative HTML version deleted]]
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R-help@r-proje
Thanks Joshua for your prompt reply, and my apologies for my much delayed one.
I've only just been able to come back to this.
I need the epicalc package for the pyramid function, and so it seems I do have
to load the package.
I've contacted the package maintainer but in the meantime I've taken
Hi All-
I have created a subset of my original csv for the times I am interested in
(9, 12, 3). I have a subset for all of those times then each individually. I
would like to have specific case studies to analyze individually for those
times. For example, I want to look at 2009/06/01-2009/06/10. I
Hello all,
I received many emails to my post on this issue. None of the answers
were able to resolve all the issues experienced by many but helped me to
understand the issues. . But consıderıng the avaılable OSs to install on,
many packages to install, and the fact that R is a product of o
On Nov 14, 2011, at 4:11 PM, Dongli Zhou wrote:
> I'm trying to use gsDesign for a noninferiority trial with binary
> endpoint. Did anyone know how to specify the trial with different sample
> sizes for two treatment groups? Thanks in advance!
Hi,
Presuming that you are using the nBinomial() fu
You don't show code or a reproducible example, so I guess you want a
general answer. Use the draw.colorkey() function inside the
levelplot() call. It takes an argument key =, which accepts a list of
arguments, including space, col, at, labels, tick.number, width and
height (see p. 155 of the Lattic
Dear all,
I try to install the latest R version using checkinstall (v. 1.6.2) on
Ubuntu 11.10. After solving all the dependencies (installed using
apt-get build-dep r-base) checkinstall fails to build and install R
package with the following error (the same commands build and install
R-2.13.2
On Tue, 15 Nov 2011, Andrej Kastrin wrote:
I try to install the latest R version using checkinstall (v. 1.6.2) on Ubuntu
11.10.
mkdir: cannot create directory `/usr/local/share/man': No such file or
directory
Andrej,
This usually means that you don't have write permissions for that
direc
You haven't really said much about your overall project, but if you
are subsetting by time, it seems like you might want to use the xts
time series class. It implements ISO8601 for quick subsetting, which
seems perfect for what you are doing.
Here's a made up example:
X = xts(cumsum(rnorm(1e4)),
On 14/11/2011 5:42 PM, Cem Girit wrote:
Hello all,
I received many emails to my post on this issue. None of the answers
were able to resolve all the issues experienced by many but helped me to
understand the issues. . But consıderıng the avaılable OSs to install on,
many packages to inst
Hi,
On Mon, Nov 14, 2011 at 7:59 PM, Debs Majumdar wrote:
> Hi,
>
> I am working with the following list of files:
>
> [1] "study_chr1.one.phased.impute2.chunk1"
> [2] "study_chr1.one.phased.impute2.chunk1_info"
> [3] "study_chr1.one.phased.impute2.chunk1_info_by_sample"
> [4] "study_chr1.one.ph
I often use Lyx/Sweave and I typically write in english.
Today I had to write a document in Italian and, as many of you know,
many italian popular words use è, ù, é. ò, etc.
I discovered that if I type in Italian (that is there is at least one
letter with accent) with the Sweave module selected
Hi,
I am working with the following list of files:
[1] "study_chr1.one.phased.impute2.chunk1"
[2] "study_chr1.one.phased.impute2.chunk1_info"
[3] "study_chr1.one.phased.impute2.chunk1_info_by_sample"
[4] "study_chr1.one.phased.impute2.chunk1_summary"
[5] "study_ch
Actually, Interval Analysis can be used to find _all_ optima (including the
global optimum) within a starting box. It's not particularly well-known in
statistical circles.
See this (for example):
http://bib.tiera.ru/ShiZ/math/other/Global%20Optimization%20Using%20Interval%20Analysis%20-%20E.%20H
R Community,
I often am in need of viewing the reference manuals of packages and do not have
Internet access. I have used the code:
path <- find.package('tm')
system(paste(shQuote(file.path(R.home("bin"), "R")),"CMD",
"Rd2pdf",shQuote(path)))
someone kindly provided from this help list to
On 11-11-14 9:44 PM, Tyler Rinker wrote:
R Community,
I often am in need of viewing the reference manuals of packages and do not have
Internet access. I have used the code:
path<- find.package('tm')
system(paste(shQuote(file.path(R.home("bin"), "R")),"CMD",
"Rd2pdf",shQuote(path)))
someone
On Mon, Nov 14, 2011 at 9:44 PM, Tyler Rinker wrote:
>
> R Community,
>
> I often am in need of viewing the reference manuals of packages and do not
> have Internet access. I have used the code:
>
> path <- find.package('tm')
> system(paste(shQuote(file.path(R.home("bin"), "R")),"CMD",
> "Rd2pd
Hi R users,
I end up with a list object after running an anova:
> lm(speed ~ 1 + dist + speed:dist, data = cars) -> Int
> lm(speed ~ 1 + dist, data = cars) -> NoInt
> anova(Int, NoInt) -> test
> test <- test[c("Df", "F", "Pr(>F)")][2,]
> is.list(test)
[1] TRUE
> test
Df FPr(>F)
2 -1 18
Hi, Marc,
Thank you very much for the reply. I'm using the gsDesign function to create an
object of type gsDesign. But the inputs do not include the 'ratio' argument.
Dongli
On Nov 14, 2011, at 5:50 PM, Marc Schwartz wrote:
> On Nov 14, 2011, at 4:11 PM, Dongli Zhou wrote:
>
>> I'm trying t
To use the gauss.quad function: gauss.quad(n,type) which returns two lists
$nodes and $weights whose length will each equal n. I'd like to do this for
n=1 to 40 (type will not change) and have a dataset with 40 rows and 81
columns with all the nodes and weights. The first record would have N1 a
Thanks, Dennis. Yes, I can do that, but that locks the physical units
to locations of the labels. I had hoped that there might be something a
bit more flexible, like a subtitle or more general text.
Carlisle
On 11/14/11 6:03 PM, Dennis Murphy wrote:
You don't show code or a reproducible exam
Hi,
I wrote a small patch to make it possible to get colored output from R
running in a Linux terminal emulator. It's a dirty patch. I hope that
someone with better knowledge of R source code and C programming will
improve it. To force the use of Rstd_WriteConsoleEx function
(src/unix/sys-std.c) I
Duncan,
Thank you for your reply. I was not clear about the Internet access. I do
have access, just at times I don't, hence the need to produce the manuals from
latex rather than simply using the Internet.
Please pardon my lack of knowledge around your response. You said I'd have to
inst
Hi all,
I wrote a r program as below:
x <- 1:10
y <- c(3,3,3,3,3,3,3,3,3,3)
fit <- lm(log(y) ~ x)
summary(fit)
And I expect to get some error message from R, because "y" is constant.
But, I got the message as below:
> summary(fit)
Call:
lm(formula = log(y) ~ x)
Residuals:
Min 1
Hi,
I want to remove the entire row from the dataset if any of the row contains
blank or NA
my dataset look like
State YearY X2 X3 X4 X5 X6
State1 196027.8397.5 42.250.778.365.8
State2 196029.9413.3 38.152 79.266.9
On 15/11/11 14:21, Giuseppe wrote:
I often use Lyx/Sweave and I typically write in english.
Today I had to write a document in Italian and, as many of you know,
many italian popular words use è, ù, é. ò, etc.
Note that you can render these in LaTex as \`{e}, \`{u}, \'{e},
and \`{o}, respective
I'm not aware of a way that one can have "blank" data.frame elements
in Rsomething about this seems mighty suspicious...
For the NA's, if you wish to omit them, I might suggest na.omit()
I don't know if you've seen this, but you should have a look at the
apropos() command. Very helpful
Micha
It might be better to post it to the LyX mailing list
(lyx-us...@lists.lyx.org) since you are using LyX. Anyway, the problem
came from Sweave: you did not tell us your R version, and I suppose
you are using the latest version of R (2.14.0). There are two ways of
telling Sweave your UTF8 encoding (s
What exactly is it that's worrying you? It's a problematic regression
for a few reasons, but ultimately it seems pretty ok, though I'd be
ever so slightly worried about the R^2 value being misinterpreted.
Michael
On Mon, Nov 14, 2011 at 10:49 PM, Miles Yang wrote:
> Hi all,
> I wrote a r program
The easiest thing is almost certainly going to be to redefine
print.aov as desired. You can get it at by typing stats:::print.aov.
Copy the code edit and then reassign it to print.aov in the global
environment and voila!
Michael
On Mon, Nov 14, 2011 at 11:49 PM, Sverre Stausland
wrote:
> Hi R us
Perhaps something like:
sapply(1:40, function(n) c(gauss.quad(n)$nodes, rep(NA, 40-n)))
sapply(1:40, function(n) c(gauss.quad(n)$weights, rep(NA, 40-n)))
You'll have to decide how you want the records combined but this
should get you going in the right direction
Michael
PS -- it's polite to say
Thanks for reply,
tried as sudo, but error still persist.
Andrej
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Hello. I had been struggling with running linear regression using
lm() primarily because my data has a few categorical variables with at
least a thousand levels.
I tried the biglm() function and it worked.
My problem now is that i don't know how to get the R2 results. Could
someone help?
Thank
Hello Bernhard:
Thank you for your kindly help. Actually, I have tried to read the
source code, but I can not understand it clearly. But with your
recommendation, I do think you are right.
I guess, when I use the criterion of "BIC" in CADFtest, I set the
max.lag.y=14. It seems to reduce t
Thanks for these various tips.
Sarah, this is not a howework, but a simplified dataset speecificly for
this question.
Laura
.
2011/11/14 Dennis Murphy
> Groupwise data summarization is a very common task, and it is worth
> learning the various ways to do it in R. Josh showed you one way to
> u
Hello Sean,
It appears that you can fetch it using:
summary(a)$rsq
Full code:
require(biglm)
data(trees)
ff<-log(Volume)~log(Girth)+log(Height)
a <- biglm(ff,trees)
summary(a)$rsq
summary(lm(ff,trees))$r.squared # we get the same result
To see how it is computed, have a look at:
getAnywhere
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