similar to: Confident interval for nls predictions

1. You have levels(A) as "2" and "4", yet you showed equations for A=0 and A=1? 2. y = A + X + A*X means you're allowing the different groups of A to have different slopes. Probably not what you intended. 3. It's probably best to provide a small sample of the data (and R code) so we know how you got what you got. Andy From: Ben Ridenhour > > Hello, >

Hello, I am new to using R and I am having problems get boot() to work properly. Here is what I am trying to do: I have statistic called "cs". cs takes a data matrix (154 x 5) and calculates 12 different scores for me. cs outputs the data as a vector (12 x 1). cs doesn't really use weights, per se, however I have included this as one of the 2 arguments cs can take. I try

Hello, I 'm sure there must a be a simple explanation for what I'm doing wrong but I am stumped. I am a novice R user and this has shaken my confidence in what I'm doing! I am trying to run a simple ANCOVA using the model y~A*x, where y and x are continuous and A has two levels. Everything seems fine until I compare the output with what I get from another statistical package

Hello all, I'm sure I'm missing something simple here, but I can't figure out how to modify the glm.fit() function and then get R to use it (sort of). I'm doing something along the lines of: glm.fit<-edit(glm.fit) # add something trivial to the top of the glm.fit function like: print("Hello world!") #now have a modified glm.fit in position 1/.GlobalEnv

Hi all, I have a question regarding how to properly analyze a data set and then how to perform the analysis in R. First, I have data that I would like to analyze using a mixed GLM (I think this is the most appropriate method, but I am unsure). In a mixed model (y = X*beta+Z*gamma+epsilon), I would like to structure the variance matrices of gamma, G, and the error, R, to take advantage of all my

Hi Pavel, thank you for you response. objdump -T showed that there are no symbols defined in liblldb.so. After few compilations I found that problem is with linking with LLD (-DLLVM_ENABLE_LLD=ON) without the directive everything is ok. Hana ============= $ objdump -T lib64/liblldb.so lib64/liblldb.so: file format elf64-x86-64 DYNAMIC SYMBOL TABLE: 0000000000000000 w D *UND*

Hi all, I can't come over a problem with formula. Suppose I have a coxmod model with the following formula: > somemod$formula Surv(lebzeit, tot == 1) ~ sex + (alter >= 65) + diff3k + zelltyp_k_c + q_nuc_3k + kar_k80_g80 + stadium and I want to drop the stadium explanatory variable from the model with > update(somemod, ". ~ . - stadium") I get the following messages:

Dear R help list, i'm using multinom (nnet), the results given to me is the coefficients and std errors. Is there a way to obtain directly (or in an export to latex) the odd-ratio (exp(B)) and it's confident intervals. thanks very much for your help Pierre-Henry Miquel Universit?? de Lille 2 (M??decine) France Vous manquez d??espace pour stocker vos mails ?

Hello, I update my building scripts to build LLVM 4.0 RC1 (with clang, lldb, libc++, libc++abi, lld) on CentOS 6 and I got a lot of undefined symbols during linking LLDB. I'm using clang-3.9 and this configuration: -DLLVM_TARGETS_TO_BUILD="X86" -DCMAKE_BUILD_TYPE=Release -DCMAKE_C_COMPILER=/usr/bin/clang -DCMAKE_CXX_COMPILER=/usr/bin/clang++

Hello, I want to make wine run a qt-based commercial, large windows app. I run wine 0.9.22 on gentoo amd64 and can successfully run other applications. The app in question starts up fine, asks for which modules to use and then proceeds to constructs a temporary config file for itself. However, it then proceeds with an error message by itself that it encountered a problem parsing this config file

I do not mean to be argumentative, but I have to admit a little frustration with Gluster. I know an enormous emount of effort has gone into this product, and I just can't believe that with all the effort behind it and so many people using it, it could be so fragile. So here goes. Perhaps someone here can point to the error of my ways. I really want this to work because it would be ideal

Hello, everybody: I recently encountered an example with in which the graph was placed in a way that did not leave room for a legend. Maybe you would describe it as "legend too big", I'm not sure. I found myself wishing I could force in some space after the title. Here's working example where I'd like to make room for a legend. x <- rnorm(100) hist(x, freq=F,

Hi I have the following formula (I hope it is clear - if no, I can try to do better the next time) h(x, a, b) = integral(0 to pi/2) ( ( integral(D/sin(alpha) to Inf) ( ( f(x, a, b) ) dx ) dalpha ) and I want to do an mle with it. I know how to use mle() and I also know about integrate(). My problem is to give the parameter values a and b to the