similar to: error options

Hi-- This is a question with a trivial and obvious answer, I'm sure, but I can't seem to find it in the help files and books that I have handy. I have a dataframe consisting of two columns, "Gene_Name," a list of gene symbols, and "Number," a numeric measure of how frequently a tag representing that gene showed up in a SAGE library. Several of the genes are

Thanks to David and Jorge - both of your helpful suggestions got me to the desired endpoint. In case anyone else has this question: I boxplotted my y variable data, but did the "cut" operation on the x variable in order to conserve the order of the y data. I see another suggestion coming in from another user that basically says this. So, my working line of code was: boxplot(count$RPKM

Dear all I am now running a MCMC iteration in the R program. But it is always stucked in some loop. This cause big problems for my research. So I want to know whether we can skip the current dataset and move to next simulated data when the iteration is stucked? Alternatively, can the MCMC chain skip the current iteration when it is stucked and automatically to start another chain with different

I'm using an R program (which I did not write) to simulate multilevel data (subjects in locations) used in power calculations. It uses lmer to fit a mixed logistic model to the simulated data based on inputs of means, variances, slopes and proportions: ? (fitmodel <- lmer(modelformula,data,family=binomial(link=logit),nAGQ=1)) where modelformula is set up in another part of the program.?

Hi all, I often run a bunch of code with Run Selection, and, after it's done running, I find there have been like 20 errors, all due to an error that occurred early in my code, which caused problems from there on. (I must then scroll up through lots of code to find it.) What I would like is for R to stop executing when an error occurs. I am aware of a few solutions: 1. Put all the code in a

Hello all, I am trying to understand how to specify nested factors when using coxph(), and if it is appropriate to nest these factors in my situation. In the simplest form, I am testing two different temperatures, with each temperature being performed twice in different experimental periods (e.g. Temp5 performed in Period A and C, Temp4 performed in Period B and D) I am trying to see if survival

Hello, and sorry for asking a question without the data - hope it can still be answered: I've run two things on the same data: # Using lme: mix.lme <- lme(DV ~a+b+c+d+e+f+h+i, random = random = ~ e+f+h+i| group, data = mydata) # Using lmer mix.lmer <- lmer(DV ~a+b+c+d+(1|group)+(e|group)+(f|group)+(h|group)+(i|group), data = mydata) lme provided an output (fixed effects and random

Hello, I want to know if there is any way to avoid source() stopping when there is an error. Here is the content of my Main.R script: source("~/R/source/Constructor1.R") # Object1 should be constructed ifelse(exists("Object1"), # It's an S4 object print("Object1 exists"), # I can't avoid using 'validity'

Dear list, I wanna select the significant variables relative to bird distribution, using stepwise method. However, the result is always the best-fit model. Please kindly suggest if it is possible to show the selection process. Thank you Elaine [[alternative HTML version deleted]]

Hello all, I am fishing for some suggestions on efficient ways to make qdist and pdist type functions from an arbitrary distribution whose probability density function I've defined myself. For example, let's say I have a distribution whose pdf is: dRN <- function(x,d,v,s) # d, v, and s are parameters return(d/x^2/sv/sqrt(2*pi)*exp(-(d-v*x)^2/2/(sv^2*x^2))) this is a legitimate

Hi all, I am running a simulation and a curious error keeps coming up that stops the whole process. The error is a subscript out of bounds error, and it seems to happen at different points (floating around) throughout the looping simulation. Say, for example, it crashes on sample 1 - iteration 200. I can force it to start again on iteration 202 with all of the same settings, and it is

Is there any way to put an argument into an object name. For example, say I have 5 objects, model1, model2, model3, model4 and model5. I would like to make a vector of the r.squares from each model by code such as this: rsq <- summary(model1)$r.squared for(i in 2:5){ rsq <- c(rsq, summary(model%i%)$r.squared) } So I assign the first value to rsq then cycle through models 2 through

Hello, I was wondering if there was a quick way to reverse a function's CFG and, in turn, all basic blocks within it. Assuming all variables are globals, is there a quick way to generate a function's reversal? I highly doubt such functionality exists but I figured it was worth asking. I'm trying to develop an "undo function" generator pass that would be able to restore

Hi James, On Aug 12, 2011, at 1:02 AM, James Molloy wrote: > I’ve got a load of examples for this, but I’ll pick one. > > echo '0xB0 0x00 0x00 0x00' |/work/llvm-cmake2/build/bin/llvm-mc -arch arm --disassemble – > strheq r0, [r0], -r0 > > This instruction encoding is marked UNPREDICTABLE. The question is: does a disassembly of it have value? One use case put

Hi; I am having problems inverting matrices using the function solve() For example R can not invert the following matrix [,1] [,2] [,3] [,4] [,5] [1,] 25 500 11250 275000 7.106250e+06 [2,] 500 11250 275000 7106250 1.906250e+08

Hello, Researchers at Oregon State University are striving to conduct research to learn more about the free/open source software community landscape as it relates to older adults. We have identified you as a leader for a free/open source software community. If you?re interested, we will either do an in-person interview (if you are local to the Corvallis or Portland area), or an interview over the

Hello everyone, I did some initial tests and it seems that mongrel does not support byte-range requests. Is this correct? The reason I ask is that the iPhone requires byte-range requests to work in order to stream audio or video from a web server. Thanks in advance, alan

Hi, I guess that my problem has an obvious answer, but I have not been able to find it. Suppose I create a custom function, consisting of two beta-distributions: myfunction <- function(x) { dbeta(x,2,6) + dbeta(x,6,2) } How can I calculate the quantiles of myfunction? I have not seen any continous function treated in the docs, and applying the "quantile function" gives me an

Hi, I''ve configured mongrel_clusters behind an Apache 2.2 proxy using named virtual host. Session are saved as ActiveRecordSession. But the cookies created on client side doesn''t correspond to session data saved in database (keys are different). The RoR app react just like it doesn''t have a session at all. If I don''t use Apache as a proxy/load balancer

Hello, I am trying to use scalar evolution pass using following command; opt -analyze -mem2reg -indvars -loop-simplify -scalar-evolution < vec.bc when vec.bc is generated using newer version of LLVM i.e LLVM 6 and 7 i get following message in the end; Determining loop execution counts for: @main Loop %8: Unpredictable backedge-taken count. Loop %8: Unpredictable max backedge-taken count. Loop