similar to: Installing stats4 package

Hi, I want to generate a heatmap for my data (in a matrix). However, the data has some missing values (represented as blank). I get the following errors (with the blanks and with blanks replaced by NA and including the option rm.na = TURE): > filename = "input_heatmap.txt" > g <- as.matrix(filedata) > fg <- rainbow(nrow(g), start=0, end=.3) > gg <-

Hello, I am running Kruskal-Walis test in R. When I try to save results using write.table it gives me the following error : Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors) : cannot coerce class "htest" into a data.frame The overall code is as follows : >data_file = read.table("~/DATA.dir/data_file.txt", header=T)

Hi everyone! I am using the mle {stats4} to estimate the parameters of distributions by MLE method. I have a problem with the examples they provided with the mle{stats4} html files. Please check the example and my question below! *Here is the mle html help file * http://stat.ethz.ch/R-manual/R-devel/library/stats4/html/mle.html http://stat.ethz.ch/R-manual/R-devel/library/stats4/html/mle.html

Dear developers, the implementation of S4 generics for existing S3 ones in the base package is concerned to be a threat to quick startup times [1]. But since S4 is promoted, and S3/S4 interoperability a pain when package developing [2], are there efforts to improve the situation? E.g. an S3 free system, etc. A good thing [2] is the package 'stats4', including some setGeneric calls (e.g.

Hi! This is a repost of an earlier message (with a clearer example demonstrating the problem I ran into). If you run the mle example in stats4 library(stats4) x <- 0:10 y <- c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8) ll <- function(ymax=15, xhalf=6) -sum(stats::dpois(y, lambda=ymax/(1+x/xhalf), log=TRUE)) (fit <- mle(ll)) plot(profile(fit),

With the exception of "L-BFGS-B", all of the other optim() methods return the value of the function when they are given a trivial function (i.e., one with no variable arguments) to optimize. I don't think this is a "bug" in L-BFGS-B (more like a response to an undefined condition), but it leads to a bug in stats4::mle -- a spurious error saying that a better fit has been

I sent this in first on 30 July. Now that UseR! is over I'm trying again (slightly extended version from last time). With R 2.5.1 or R 2.6.0 (2007-08-04 r42421) "L-BFGS-B" behaves differently from all of the other optim() methods, which return the value of the function when they are given a trivial function (i.e., one with no variable arguments) to optimize. This is not a bug in

hello, Can you please give me a hand with this problem,well i can't install these packages: - stats - methods - stats4 when i tried the following command : *library(help = "stats") * , it gave me this output (*see picture*), so i contacted the Maintainer of the package at (*R-core at r-project.org <R-core at r-project.org>*) but he said that i write to the wrong place. (i

hello , i am so sorry , i figure it out. im sending this msj to the moderator to stop the approval of the mail . have a good day. 2018-01-12 15:42 GMT+00:00 imane hajar <imane.chafiki.fst at gmail.com>: > hello, > Can you please give me a hand with this problem,well i can't install > these packages: > - stats > - methods > - stats4 > > when i tried the

Hi, We're using stats4 for a logistic regression. The code is chdreg.logit2 <- glm(chd ~ age + sex, family = binomial) summary(chdreg.logit2) oddsratios <- coef(chdreg.logit2) exp(oddsratios) # Calculate model predicted values pred <- predict(chdreg.logit2,type="response") The glm part runs fine, and up to now so has the predict function. However, now we're

Hi, Did you try install.packages('stats'). Let we know about your Sys.info() Karim On Fri, Jan 12, 2018 at 5:37 PM, imane hajar <imane.chafiki.fst at gmail.com> wrote: > hello , > > i am so sorry , i figure it out. > > im sending this msj to the moderator to stop the approval of the mail . > > have a good day. > > > 2018-01-12 15:42 GMT+00:00 imane

On 12/01/2018 1:11 PM, Karim Mezhoud wrote: > Hi, > Did you try install.packages('stats'). That will not work, as stats is a base package. It comes with R, and can't be changed. The stats package should never be missing in a proper install of R. Duncan Murdoch > Let we know about your Sys.info() > Karim > > On Fri, Jan 12, 2018 at 5:37 PM, imane hajar

Dear R developers, I noticed a bug in the stats4 package, specifically in the confint method applied to ?mle? objects. In particular, when some ?fixed? parameters define the log likelihood, these parameters are stored within the mle object but they are not used by the ?confint" method, which retrieves their value from the global environment (whenever they still exist). Sample code: >

Yes, You are right. I mean install.packages('DVstats'). Actually, it seems that DVstats does not have maintainer https://github.com/USGS-R/DVstats Karim On Fri, Jan 12, 2018 at 7:20 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 12/01/2018 1:11 PM, Karim Mezhoud wrote: > >> Hi, >> Did you try install.packages('stats'). >> > > That

Hi there, I had a problem when I hoped to get confidence intervals for the parameters I got using mle() of stats4 package. This problem would not appear if ``fixed'' option was not used. The following mini-example will demo the problem: x <- c(100, 56, 32, 18, 10, 1) r <- c(18, 17, 10, 6, 4, 3) n <- c(18, 22, 17, 21, 23, 20) loglik.1 <- function(alpha, beta, c) { x

On 12/01/2018 1:25 PM, Karim Mezhoud wrote: > Yes, > You are right. I mean > install.packages('DVstats'). That won't work either, because DVstats is not on CRAN. > Actually, it seems that DVstats does not have maintainer > https://github.com/USGS-R/DVstats You can try install.packages("devtools") # if not already installed...

Hi Folks, I need some large chunk of physical memory, so I allocate it early using alloc_bootmem_low_pages and use it later (akin to bigphysarea patch). The trouble I am having is the following. Suppose the virtual address for the memory area is 0xc14d6000. After xen_create_contiguous_region call, I do a virt_to_bus and the bus address comes out to be 0x18000000. So far so good. However,

The patch file is a diff file generated by "svn diff". It is about other modifications such as adding some lines to make files to make the added .c and .cpp files compiled. You may apply the patch file to LLVM source code by using a "patch" command or make the changes manually by reading the patch file. Xiaoming On Wed, Sep 28, 2011 at 6:05 AM, Himanshu Shekhar

This patch enables tracing VMEXIT/ENTRY for 64-bit systems (are there any 32-bit VT enabled systems out there?) Signed-off by Himanshu Raj (rhim.list@nosuchaddr.com) -- ------------------------------------------------------------------------- Himanshu Raj PhD Student, GaTech (www.cc.gatech.edu/~rhim) I prefer to receive attachments in an open, non-proprietary format.

I am using mle as a wrapper from optim( ). How would I extract the convergence code, to know that optim( ) converged properly? Thanks, Stephen Collins, MPP | Analyst Global Strategy | Aon Benfield [[alternative HTML version deleted]]