search for: merge

With the ATI bug I was hitting earlier fixed, only my btrfs partition continues to show high cpu usage for some operations. Rsync, git pull, git checkout and svn up are typicall operations which trigger the high cpu usage. As an example, this perf report is from using git checkout to change to a new branch; the change needed to checkout 208 files out of about 1600 total files. du(1) reports

Well for a long time now my wine menu entry in gnome has been gone. Most threads I read all say to fine the <deleted> tag in .config/menus/applications.menu but mine doesn't have it.

So I needed to merge 17 .csv files, and did so by brute force, but I might need to do so again. Anyone have suggestions for a for loop that might do the below for me (where a:r are separate .csv files) ab<-merge(a,b,all=TRUE) cd<-merge(c,d,all=TRUE) ef<-merge(e,f,all=TRUE) gh<-merge(g,h,all=TRUE) ij<-me...

Hi guys, For my MSc. thesis i am using R studio. The goal is for me to merge a couple (6) of relatively large datasets (min of 200.000 and max of 2mil rows). I have now been able to do so, however I think something might be going wrong in my codes. For reference, i have a dataset 1 (200.000), dataset 2 (600.000), dataset 3 (2mil) and dataset 4 (2mil) merged into one dataset...

On Wed, Dec 18, 2019 at 4:56 AM Peter Waller <Peter.Waller at arm.com> wrote: > On 17/12/2019 22:25, James Y Knight wrote: > > I think it would probably make the most sense to land this as a single > > merge-commit (from the 2700-commit rewritten history you've created) > > onto llvm-project master, rather than as 2700 individual toplevel > > commits to master. (Which means: disable the merge-commit prohibition > > in the github configuration, temporarily, push this commit, and th...

Hello, I am attempting to merge 8 different data sets into a "grand merge" data set; all their variable names are common except for the the gas measured. However, when I did a quick stat summary comparison of merged data with unmerged data, it turned out that R mysteriously duplicated thousands of values in the merged s...

Some issues: 1) Variable names cannot have spaces. "merged 1" is not valid but "merged_1" is a valid alternative. 2) You need to tell R what to merge by. It looks like you may be using data tables rather than a data frame. merged <- dataset2[dataset1, on = "id", nomatch = NA] 3) Alternatively: join functions from the dplyr pac...

...-------------------- ---- "f.make.subtree" <- function (tree, groups, n = 1, add.element = NULL) { which.nodes <- which(groups == n) names(which.nodes) <- NULL ## steal some code from plot.hclust use.labels <- if (is.null(tree$labels)) paste(1:(nrow(tree$merge) + 1)) else as.character(tree$labels) subtree.labels <- use.labels[which.nodes] subtree.order <- tree$order[use.labels[tree$order] %in% subtree.labels] which.merge.elements <- which(-tree$merge %in% which.nodes) which.merge.rows <- sort(uni...

Hi, I have some protein array data, each array in a separate text file. So I read them in and try to combine them into a single data frame by using merge(). see code below (If you download the attached data files into a specific folder, the code below should work): fls<-list.files("C:\\folder_of_download",full.names=T) ## get file names prot<-list() ## a list to contain individual files ind<-1 for (i in fls[c(1:11)]) { ??? cat(i...

...atthias Braun via llvm-dev <llvm-dev at lists.llvm.org> writes: > - Even in the long term I would vote to stay with linear history, I > see little benefits in having "correct" origin information of a commit > that the merging model provides. We often revert entire feature merges when problem arise. It's much easier to do in a merging workflow because you have a single commit to revert. In the end I don't really care which model LLVM uses. I just want to provide as much working knowledge as I can based on experience doing exactly this kind of SVN->git transit...

Hello, My problem is that I would like to merge multiple files with a common column but merge accepts only two data.frames to merge. In the real situation, I have 26 different data.frames with a common column. I can of course use merge many times (see below) but what would be more sophisticated solution? For loop? Any ideas? DF1 <- data.fram...

Hi, As part of the migration of LLVM's source code to github, we need to update our developer policy with instructions about how to interact with the new git repository. There are a lot of different topics we will need to discuss, but I would like to start by initiating a discussion about our merge commit policy. Should we: 1. Disallow merge commits and enforce a linear history by requiring a rebase before push. 2. Allow merge commits. 3. Require merge commits and disallow rebase before push. I'm going to propose that if we cannot reach a consensus that we adopt policy #1, because...

Hello, everyone I have a piece of code that looks like this: mrets <- merge(mrets, BMM.SR=apply(mrets, 1, MyFunc, ret="BMM.AV120", stdev="BMM.SD120")) mrets <- merge(mrets, GM1.SR=apply(mrets, 1, MyFunc, ret="GM1.AV120", stdev="GM1.SD120")) mrets <- merge(mrets, IYC.SR=apply(mrets, 1, MyFunc, ret="IYC.AV120", stdev=&q...

...would like to know if the community has any interest in having a more powerful function merging optimization. ---- More Details ---- Up until now, I have been focusing on the quality of the code reduction. Some preliminary result on SPEC'06 in a full LTO fashion: The baseline has no function merge but the optimization pipeline is the same, and I am comparing my function merge with LLVM's identical function merge, where everything else in the optimization pipeline is the same as the baseline. Average reduction in the final exectuable file over the baseline: 5.55% compared to 0.49% of the...

Hi All, I am looking into merging 3 data sets I know how to do that by merging data1 with data2 and then merging the result with data 3. I was wondering if it can be done all at once so I tried, M<-merge(data1,data2,data3, by=?ID?) It does not work! Any ideas? -- View this message in context: http://www.nabble.com/merging-3-data-sets-at-once-tp17658873p17658873.html Sent from the R help mailing list archive at Nabble.com.

Actually I have collected some pointer information in the form [ p -> a,c ]. Now suppose at some node I have information as [p->a,c]. Now i want to find a merge node above this node where this information is actually geting merged. So if I get a merge node above this, I can check in its predecessors if their out has only [p->a] or [p->c] and if not so then I will look for the next merge node above this one, and so on. > ambika wrote: >> Hi,...

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I'd like to be able to cut dendrograms at a height I specify and then plot the resulting subtrees. I wanted to use the dendrogram object for this purpose because there doesn't seem to be a canned way to cut a hclust object and get a list of hclust objects, but there is a function (cut) that does that for dendrograms. The problem I'm having is that when I plot a dendrogram, I

I've downloaded the "data.table" package from CRAN and R-Forge and still can't utilize merge.data.table for faster merges. How do I make this function visible? > install.packages("data.table",repos="http://R-Forge.R-project.org") trying URL 'http://R-Forge.R-project.org/src/contrib/data.table_1.5.1.tar.gz' Content type 'application/x-gzip' length 616...

> Variable names cannot have spaces Please soften your words... variables can have all sorts of characters including spaces in them, but it can be inconvenient to quote them all with back-tick quotes like `merged 1` so where possible most people avoid variable names with weird characters. People also often have to work with column names provided by an external source. It can be harder to explain to people familiar with the original data that you renamed all the columns they see because it was inconvenient...