similar to: optim error - repost

I saw a similar question but I still don't fully understand how to implement optim. Can someone help me out with this? Thanks. Keun-Hyung > vol<-rep(c(0.03, 0.5, 2, 4, 8, 16, 32), 3) > time<-rep(c(2,4,8),each=7) > p.mated<-c(0.47, 0.48, 0.43, 0.43, 0.26, 0.23, "null", 0.68, 0.62, 0.64, 0.58, 0.53, 0.47, + 0.24, 0.8, 0.79, 0.71, 0.56, 0.74, 0.8, 0.47) >

Dear all, I'm using R2.8 version, and am trying to do NMDS and calculate other diversity indices in vegan package. The problem is that it works with a small set of data (43 X 23; row by column), but the following error message comes up with a larger data set (43 X 104) (it seems not large to me at all). I made it sure that all data are of numeric type as required. >gh1.H=diversity(gh1)

Thanks Jim for pointing out how to properly ask. Here is is my question and a small subset of the data and output. I have a data set with many blanks. The blanks should be replaced with zero once imported. I tried read.table, read.csv (R 2.8 version),or scan, but none was successful. Any suggestion, please.. thanks. Keun-Hyung >garoben=read.table("c:\\Rdata\\garoben.txt",header=T,

Dear helpers, I'm using R version 2.8.0. Suppose that I have a small data set like below. [,1] [,2] [,3] [,4] a 1 1 0 0 b 0 1 1 0 c 1 1 1 0 d 0 1 1 1 First, I'd like to find row sum of values uniquely present in each row, but only sequentially from the top row, meaning that if the value is shown in the above row(s) already, the

Dear R-list Suppose I have a data set stored in hmet, for which I did get confidence limit on a linear regression as shown below. My question is how I can subset only data points which are within the confidence limit. Thank you. Keun-Hyung --------------------------------------------------------------- Al=rnorm(100, 3) Cd=rnorm(100, 0.2) hmet=data.frame(Al=Al, Cd=Cd) plot(Al,

I'd like to generate many matrices (let's say 100 matrices of 4x4), of which diagonal elements are being drawn from each set of sample of known distribution. What would be the best way? I've been trying to find any previous threads for this topic, but haven't been able to find one. Thanks. Kevin [[alternative HTML version deleted]]

Hi, I have couple of questions that those who design unconventional passes would be interested in. 1. How to move a virtual register data to another new virtual register? It seems like that there is no LLVM instruction similar to mov machine instruction. Arithmetic or logical operators could be used for integer variables but what about pointer variables? 2. What is

Hi, The source attached at the bottom is a testcase which causes a back-end error in LLVM 2.4. These types of assembly routines are mainly used in OS kernels. I checked that GCC 4.3 works for this routine. The error messsage is ... Couldn't allocate output reg for constraint 'A'! I just need help or comments so that I could analyze and fix this bug. My

Thank your for reply. The reason why these information are needed is that I am trying to extract the program signature (e.g., control flow) out side of the binary. Conventional compiler technique adds extra checking code into the target source or target IR in an invasive manner. Since code generator combines the added code with the original one, they don't need to correlate these two

Keun Soo Yim wrote: > > Hi, > > How to correlate the LLVM IR-leve instructions and memory values > with the machine instructions and memory locations? Can you tell us what goal you are trying to accomplish that requires you to do this? There might be better ways of doing what you want. The answer to your question probably depends on whether you're trying to write a

Hi, I am attempting to plot survival curves estimated by cox proportional hazards regression model. The formula for the model is this: F.cox.weight <- coxph(Surv(Lifespan, Status) ~ MS + Weight + Laid + MS:Laid + Weight:Laid, data = LongF) MS = Mating status (mated/virgin) Weight = adult female weight, continuous covariate Laid = number of eggs laid by each female, continuous covariate I

Hi, How to correlate the LLVM IR-leve instructions and memory values with the machine instructions and memory locations? For example, if CMP instruction in machine ISA is selected for the ICMP instruction in LLVA, with the Instruction datastructure for ICMP, is it possible to get the memory address of CMP instruction? Assume that the code segment base address is given. Similarly, by

to clean up some code I would like to make a list of arbitrary length to store?various objects for use in a loop sample code: ############ BEGIN SAMPLE ############## # You can see the need for a loop already linearModel1=lm(modelSource ~ .,mcReg) linearModel2=step(linearModel1) linearModel3=lm(modelSource ~ .-1,mcReg) linearModel4=step(linearModel3) #custom linearModel5=lm(modelSource ~ .

Does anyone succeed at compiling Linux kernel for Sparc v8 architecture? I am currently trying to expand the regime of LLVM to Sparc kernel codes. The following is the initial error messages. Any comment is welcomed. #1. Inline Assembly Code: register struct thread_info *current_thread_info_reg asm("g6"); Error Message: include/asm/thread_info.h:77: error:

hello :) i use Mac OS X 10.4.5 , and ruby 1.8.4 , wxWidgets 2.4.2 ( from cvs ). i tried to compile wxRuby, but there are always errors around "id" , dialog.cpp: In static member function ''static VALUEWxDialog::init(int,VALUE*, VALUE)'':dialog.cpp:60: error: expected unqualified-id before''='' tokenmake: *** [dialog.o] Error 1 like above. in that case, in

Dear R-List, I would like to write nicely the names of some isotopes on a plot. The code bellow works fine. plot(1:10,1:10) text(c(2,4,8),c(2,4,8),labels=c(expression(italic(phantom(0)^{78}*Ge)), expression(italic(phantom(0)^{137}*Cs)), expression(italic(phantom(0)^{129*m}*Te))), cex=3 ) But, since I have a lot of

Dear R-List, I would like to write nicely the names of some isotopes on a plot. The code bellow works fine. plot(1:10,1:10) text(c(2,4,8),c(2,4,8),labels=c(expression(italic(phantom(0)^{78}*Ge)), expression(italic(phantom(0)^{137}*Cs)), expression(italic(phantom(0)^{129*m}*Te))), cex=3 ) But, since I have a lot of

Dear R Users,i am very new to R. I want your help on an issue regarding distance matrix and cluster analysis i had discharge data of 4 rivers(a,b,c,d) in 4 vectors each having 364 values > dput(qmu)structure(list(a = c(0.26, 0.25, 0.25, 0.25, 0.24, 0.23, 0.22, 0.21, 0.21, 0.21, 0.2, 0.19, 0.19, 0.19, 0.19, 0.18, 0.18, 0.18, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17,

To the R development team: First of all, thank you so much for maintaining wonderful R software. Perhaps, Dr. Ahn has just reported an error on the wilcox.test() function, and suggesting that an error may arise from abs() and rank(). I just had a quick check that the problem may come from the precision of the results of arithmetic functions. 87.7-89.1+1.4 # > 87.7-89.1+1.4 # [1]

Hi, I have a 3d array as below, I want to make this array to a matrix of p=50(rows) and n=20(columns) with the coverage values . The code before the array is: library(binom) Loading required package: lattice pi.seq<-seq(from = 0.01, to = 0.5, by = 0.01) no.seq<-seq(from = 5, to = 100, by = 5) cp.all = binom.coverage( p = pi.seq, n = no.seq , conf.level = 0.95, method = "exact")