similar to: flattening return value of tapply

Hello, This question is a nightmare to search for, as I get so many irrelevant results. What I'm interested in doing if I have many pages of plots and I want to keep them together in the same document, say a PDF, is there a way to flatten all the dot plots and graphics, so that they don't take a long time to load on a slow computer in Adobe Reader, without using external programs outside

Here's an easy question: I'd like to convert a symmetric matrix to a vector composed of the upper.tri() part of it plus the diagonal, and convert it back again. What's the best way to achieve this? I'm wondering if there are some built in functions to do this easily. I can encode fine: v <- c(diag(A),A[upper.tri(A)]) but I don't see an easy way to recover A from v

Hey I need some help with pagination and the link_to in the view. I''m trying to include a hash in the pagination link_to params and it keeps flattening out my hash. Example: Here''s my hash called @answer: "answer"=>{"6"=>"9bf31c7ff062936a96d3c8bd1f8f2ff3", "7"=>"6f4922f45568161a8cdf4ad2299f6d23"}

Hello all, Simple version of my problem: I've got a list of data frames, where each data frame has the same number of columns and the same column names. I'd like to flatten the list into one large data frame. Is there an easy way to do this? Quick example code: a <- data.frame(x=c(1,2,3),y=c(5,7,9) b <- data.frame(x=c(2,4,7,9),y=c(2,3,5,4)) z <- list(a,b) # Do

Dear list, I came up with a two functions that flatten arbitrary deeply nested lists (as long as they're named; not tested for unnamed) and environments (see attachment; 'flatten_examples.txt' contains some examples). The paradigm is somewhat similar to that implemented in 'unlist()', yet extends it. I would have very much liked to build upon the superfast functionality

Last question for today, I promise! The problem: In order to disconnect calls after x minutes, I need to do this: [setup] exten => setup,1,Answer() same => n,Set(LIMIT_PLAYAUDIO_CALLER=yes) same => n,Set(LIMIT_WARNING_FILE=/var/lib/asterisk/sounds/en_GB_TNS/time_limit_reached) same => n,Dial(Local/s at root/n,3,L(3540000:60000)) same => n,Hangup() [root] exten

In the summary of the output of arma, there's a number Pr(>|t|), however, I don't know what is its meaning - at least, it doesn't _seem_ to be a Student's t distribution. Reproducible test case: x <- c(0.5, sin(1:9)) reg <- arma(x, c(1,0)) summary(reg) <output> Call: arma(x = x, order = c(1, 0)) Model: ARMA(1,0) Residuals: Min 1Q Median 3Q

dear all, I am a new comer to R and statistic. Now I have a little confuse about the package pls. I have to use 5 components to form a model. There are strong relationship between some of the components, which leads to the changes of the sign of each coeficeince, of course this is unwanted when using the normal regression way. So I choose the way of PLS, which is good at solve this kind of

Package: logcheck-database Version: 1.2.68 Severity: normal Hi, I use postfix, amavisd-new and logcheck on a lenny server, and the mails I receive seem a little to verbose. For example, I get in the report all mails which are received, for example: Sep 11 08:35:11 heracles amavis[19788]: (19788-02) Passed CLEAN, [xxx.xxx.xxx.xxx] [xxx.xxx.xxx.xxx] <user at domain> -> <user at

Hi, I have a experiment with block, plots, sub-plots, and sub-sub-plots with repeated measures and 3 factors (factorial design) when we have been observed diameter (mm), high (cm) and leaves number (count). However, we don't have one treatment in one factor, so, my design is unbalanced. On a previous message here, a friend tell me that "It appears to me that your design is a split-split

Hello R users I'm using MuMIn but for some reason I'm not getting the adjusted confidence interval and uncoditional SE whe I use model.avg(). I took into consideration the steps provided by Grueber et al (2011) Multimodel inference in ecology and evolution: challenges and solutions in JEB. I created a global model to see if malaria prevalence (binomial distribution) is related to any

Hello: I would like to be able to do a 3D scatter plot from 3 variables, 2 independent and 1 dependent. The closest R function I could find for this is "cloud". However cloud uses, as input, a matrix where the value of each matrix element is the dependent variable value at that matrix coordinate. My problem is that the independent variable values are floating point and can be of

ERB: <%= hidden_field_tag(''users_ids'', @users.collect(&:id))%> OUTPUT: <input id="users_ids" name="users_ids" type="hidden"

On 07/03/2014 03:12 AM, Kashyap Chamarthy wrote: > Versions > -------- > > (Libvirt locally built from a recent git commit -ec7b922): > > $ rpm -q libvirt-daemon-kvm qemu-system-x86 > libvirt-daemon-kvm-1.2.6-1.fc20.x86_64 > qemu-system-x86-2.0.0-1.fc21.x86_64 > > > Test > ---- > > [All images are qcow2 files.] > > > We have this

On Thu, Jul 03, 2014 at 12:42:20AM +0530, Kashyap Chamarthy wrote: [. . .] Forgot to note: Before blockcopy, the current block device is snap1.qcow2 (after too, it's the same, since we didn't `--pivot` to the copy. > Now, let's do a live blockcopy (with a '--finish' to graecully finish > the mirroring): > > $ virsh blockcopy --domain testvm2 vda \ >

Thanks, i will do that how can i attach a LLVM IR source file to a bug report? Charles ----- Mail original ----- De: "Andrew Trick" <atrick at apple.com> À: charlessl at free.fr Cc: llvmdev at cs.uiuc.edu Envoyé: Vendredi 18 Juillet 2014 09:18:41 Objet: Re: [LLVMdev] LLVM Code Generation on flattened IR code On Jul 17, 2014, at 11:41 AM, charlessl at free.fr wrote:

Hi i don't have any problem anymore after switching from 3.4 to the trunk version it seems it has fixed the issue. Charles

I have a nested list l like: l <- list(A=c(1,2,3), B=c("a", "b")) l <- list(l,l, list(l,l)) I want the list to be unlisted, but not on the lowest level of each "branch". I want the lowest level of each list branch to remain as it is. So unlist or unlist(rec=F) do not work here as the level of nesting may differ on the elements. The result should look like:

I am looking for a function to flatten a list to a list of only 1 level deep. Very similar to unlist, however I don't want to turn it into a vector because then everything will be casted to character vectors: x <- list(name="Jeroen", age=27, married=FALSE, home=list(country="Netherlands", city="Utrecht")) unlist(x) This function sort of does it: flatlist

Dear FreeBSD Community, The FreeBSD Foundation is pleased to announce another funded project! Rafal Jaworowski and Semihalf has been awarded a grant to provide FreeBSD with support for the flattened device tree (FDT) technology. This project allows for describing hardware resources of a computer system and their dependencies in a platform-neutral and portable way. The main consumers of this