 | | | rhelp | | This is slightly off-topic but I would be interested in whether anyone
has succeeded in creating a filter expression for Google 's gmail
system that will select messages sent through the R-help and R-dHello
I have got a simple "cosmetic " question.
I have created a bar plot with confidence intervals using
barplot(mean ylim c(0 0.2) las 3 space 0)
arrows(1 17 X95p_low 1 17 X95p_higOn Thu 30 Jun 2005 John Marsland wrote
> I am trying to create a repository for my own packages as an easy way
> to auto install packages on a number of servers.
>
> Obviously I am able to connecDear community
I am writing a wrapper for '[ ' operator which is a generic method
declared as function(x i j ... drop). It turns out that I need to
parse the '... ' argument and this is where I aI am trying to create a repository for my own packages as an easy way
to auto install packages on a number of servers.
Obviously I am able to connect using install.packages() to CRAN
without proFor some time now I use a modified version of names (extract direction) of the following type
Names <-
function (x filter "^ ")
{
grep(filter names(x) value TRUE)
}
Request
Has anyone alreadyEdward you also can use the package aod on CRAN see the help page of the function negbin.
Best
Matthieu
An example
> library(aod)
> data(dja)
> negbin(y ~ group + offset(log(trisk)) ~group djDear Gabor
Thank your for helping me so much!
I have loaded R the newest version 2.1.1. Then I setup it in the path of D \program files\R\
1. unpack tools.zip into c \cygwin
2. install Active perlHi
Can someone tell me if it is possible to set the dispersion parameter constant when fitting a negative binomial glm in R? I 've looked at the documentation and can 't find the appropriate argument tI use R to generate data and I need to estimate the data by egarch (that
doesn 't have in R). So how I can call egarch from SAS in R.
Regards
luck
Hi I am trying to find out a collinearity in
explanatory variables with alias().
I creat a dataframe
dat <- ds[ sapply(ds nlevels) > 2]
dat$Y <- Response
Explanatory variables are factor and respHi
I am wondering if anyone here used deal package in R to do the
bayesian network. I am curious about its scalability how many
variables and how many observations can it handle in a reasonable
timeI forgot to cc the list on this reply.
---------- Forwarded message ----------
From Douglas Bates <dmbates@(protected) >
Date Jun 29 2005 6 28 PM
Subject Re [R] Extract fixed effects SE from lmer
Hi
Does anyone know how to extract fixed effects SE values from generalized linear mixed models estimated using the lmer function in the lme4 library? I searched attributes and structure with no lHello
I 've decided to try and distill an earlier rather ill focused question to
try and elicit a response. Any help is greatly appreciated. Why does mod.cox
not work with sbrier whilst mod.km does? CaI am planning to plot my data on log scale (y-axis). There is a
parameter in plot function which is
plot( ... log "y " ...)
While the problem is that it is with base of e. Is there a way to let
me Hi there
I have a predictor varible "class " which is a categorical variable and
a ' coxph ' is used to find the coeffients. How can I plot the predicted
survival proportion based on this model?
T
A <-c(1 2 NA 7 5)
B <-c(3 4 1 4 1)
C <-c(6 5 6 NA 9)
D <-c(8 7 4 6 2)
df1 <-cbind(A B C D)
for(i in seq(1 ncol(df1)-1 by 2)) {
ifelse(df1[ i] "NA " df1[ i+1] "NA " df1[ ] ) }
Tried several variaHello!
I am trying to fit a Generalized Linear Mixed Model ordinally I use
GLIMMIX macros in SAS System but I would like to fit this kind of models
in R.
Could anyone help me on what packageHello all
I 'm using R version 2.0.1. I have been having trouble with my linear
modeling. I have a table that looks something like this
T RSS DS S LS PF On Wed 2005-06-29 at 18 19 +0200 Andreas Neumann wrote
> Dear all
>
> I am using poly() in lm() in the following form.
>
> 1 > DelsDPWOS.lm3 <- lm(DelsPDWOS[ 1] ~ poly(DelsPDWOS[ 4] 3))
>
> 2 > DDear all
I am using poly() in lm() in the following form.
1 > DelsDPWOS.lm3 <- lm(DelsPDWOS[ 1] ~ poly(DelsPDWOS[ 4] 3))
2 > DelsDPWOS.I.lm3 <- lm(DelsPDWOS[ 1] ~ poly(I(DelsPDWOS[ 4]) 3))
3 > DelsDHello
I tried to fit a lognormal distribution by using optim. But sadly the output
seems to be incorrect.
Who can tell me where the "bug " is?
test rlnorm(100 5 3)
logL functionSee if this does what you want
> dat <- data.frame(f factor(sample(letters[1 10] 100 replace TRUE))
x runif(100))
> str(dat)
`data.frame ' 100 obs. of 2 variables
$ f Factor w/ 10 levels "aHi and sorry to disturb
I 'll try to be as clear as possible
I want to select rows of a data frame called "Data2.Iso " regarding the
frequency of a factor variable called "Variete " that I want " > 4 "Hello
R gives us the correlation functions cor(). (Many thanks -))
Does it also exist a "moving correlation " coefficient ?
(like the moving average).
If not could someone give me some infos or linOn 6/29/05 Tuszynski Jaroslaw W. <JAROSLAW.W.TUSZYNSKI@(protected) > wrote
> Hi
>
> I suddenly started getting strange errors while working on my caTools
> package
>
> >RCMD install C /programsHi
I suddenly started getting strange errors while working on my caTools
package
>RCMD install C /programs/R/rw2011/src/library/caTools
......
preparing package caTools for lazy loadinLet 's assume this is a 32-bit Xeon and a 32-bit OS (there are
64-bit-capable Xeons). Then a user process like R gets a 4GB address
space 1GB of which is reserved for the kernel. So R has a 3GB adHi
I 've written this function
g function(test p1 p2)
{
test sort(test)
merke 0
for (z in 1 length(test))
{
F1 ((2*z-1)/length(test))
F21 log(plnorm(test[z] p1 p2))
F22 log(1-plnorm(te |
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