similar to: [LLVMdev] How can I remove these redundant copy between registers?

Hi, Found CloneBasicBlock utility only does the cloning without any remapping. Consider below example: Input block: sw.epilog: ; preds = %sw.bb20, %sw.bb15, %sw.bb10, %sw.bb6, %sw.bb2, %sw.bb, %while.body, %if.end29 %no_final.1 = phi i32 [ %no_final.055, %while.body ], [ 1, %if.end29 ], [ %no_final.055, %sw.bb20 ], [ %no_final.055, %sw.bb15 ], [

Hi everyone, I'm having some trouble with my ifelse statements. I'm trying to put 12 conditions within 3 groups. Here is the code I have so far: dat$cond <- ifelse(test = dat$cond == "cond1" | dat$cond == "cond2" | dat$cond == "cond3" dat$cond == "cond4" yes = "Uniform" no = ifelse(test =

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Estimada comunidad, tengo el siguiente problema: 1. tengo un data.frame con varias columnas, algunas numericas, otras son variables categoricas 2. necesito hacer un calculo simple sobre este data.frame (un promedio ponderado de los valores de la columna 7), pero solo para las filas que cumplan ciertos criterios 3. en ocasiones ninguna de las filas

Hi all, suppose there is a vector y with rownames: > y cond1 cond2 cond3 cond4 78.952 87.308 86.490 74.040 how can I easily plot this vector using the rownames? plot(y) gives me a plot with a x-axis from 1 to 4 in 0.5 steps, also plot(rownames(y), y) and plot(y ~ rownames(y) don't work. I know I can build a x-axis with axis(1, ...), but in this case I need a character string like

Dear R users, I have a matrix a and a classification vector b such that > str(a) num [1:50, 1:800000] and > str(b) Factor w/ 3 levels "cond1","cond2","cond3" I'd like to do an anova on all 800000 columns and record the F statistic for each test; I currently do this using f.stat.vec <- numeric(length(a[1,]) for (i in 1:length(a[1,]) { f.test.frame

Not a reproducible example, so a bit of guessing here, but a) don't try to assign results to variables inside the ifelse. That is, remove all the single-equals signs and "test" variables. If you really need to conditionally assign variables then use "if"... but chances are good you don't need that. b) "closure" is effectively another word

Hi: I have a large dataset mydata, of 1000 rows and 1000 columns. The rows have gene names and columns have condition names (cond1, cond2, cond3, etc). mydata<- read.table(file="c:/file1.mtx", header=TRUE, sep="") I applied PCA as follows: data_after_pca<- prcomp(mydata, retx=TRUE, center=TRUE, scale.=TRUE); Now i get 1000 PCs and i choose first three PCs and make a

I've developed a working back-end for a custom architecture, based on LLVM 2.6. I'm now trying to cover more of the unique features of this architecture. To make use of one such feature, I'm trying something cunning/crazy with the stack - implementing it in a type of memory that can only be addressed via immediates. I've got this mostly working. However, I came across a problem

Dear R users, I have a data where I desire to subset according to certain conditions. However, the script is very messy as there are about 30 distinct conditions. (i.e. same script but with different conditions) I would like to make a user defined function so that I can input the desired conditions and just get the results accordingly. Below is an arbitrary data set & sample statements

Dear Rxperts! I was wondering if it is possible to write a function which can take in argument of a subset or condition.. Of course, I am aware of the alternate methods like coplot, par.plot, xyplot etc... I am specifically interested in using conditions/subsets with "plot".. A simple fragmented example is shown here.. pltit <- function(y,x,dat,dat1,dat2,sbst) { plot(y~x, data=dat,

Hi friends, I have a matrix with following format. group var1 var2 .......varN c1 group1 1.2399 1.4990....-1.4829 c2 group4 0.8989 0.7849.....1.8933 ... ... c100 group10 ..... I want to draw a profile plot of each condition c1 to c100, which rows in above matrix and each line representing a row should be uniquely colored according to the group(1 to 10). I think this is simple task

Hi Sean, Thank you for reminding me. It looks like it get lost among tons of emails and other tasks. I’ll check if the code size issues still exist. Thanks, Evgeny Astigeevich From: Sean Fertile <sd.fertile at gmail.com> Date: Monday, 29 January 2018 at 19:52 To: Florian Hahn <Florian.Hahn at arm.com> Cc: Evgeny Astigeevich <Evgeny.Astigeevich at arm.com>, Graham Yiu <gyiu

Dear list, I want to extract pairs of values out of a dataframe where one criteria/condition does match. I have an experiment with 3 conditions which were not always applied: e.g.: group cond x A 1 2 A 2 4 A 3 6.5 B 1 3 B 2 4.5 C 1 2.5 C 3 4 D 2 5 D 3

Hello All, This conversations seems to have fizzled out and I would like to try to revive it. My intention is to pick up where Graham left off with enabling partial-inlining by default. On Sat, Dec 9, 2017 at 7:47 AM, Florian Hahn via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Hi, > > On 13/11/2017 14:47, Evgeny Astigeevich via llvm-dev wrote: > >> Hi Graham,

Hello everyone, I've conducted a Type III repeated-measures ANOVA using Anova() from the car package, based on the suggestions at http://blog.gribblelab.org/2009/03/09/repeated-measures-anova-using-r/(option 3) and http://languagescience.umd.edu/wiki/EEG#ERP_ANOVA_in_R. My ANOVA has two factors: Condition (3 levels) and Region (6 levels) and their interaction. Below is code to run the Anova

On Jan 17, 2010, at 2:56 AM, Mark Muir wrote: > I've developed a working back-end for a custom architecture, based on LLVM 2.6. I'm now trying to cover more of the unique features of this architecture. > > To make use of one such feature, I'm trying something cunning/crazy with the stack - implementing it in a type of memory that can only be addressed via immediates. >

On Tue, Oct 18, 2011 at 6:58 PM, Jakob Stoklund Olesen <stoklund at 2pi.dk>wrote: > > On Oct 18, 2011, at 5:22 PM, Chandler Carruth wrote: > > As for why it should be an IR pass, mostly because once the selection dag >> runs through the code, we can never recover all of the freedom we have at >> the IR level. To start with, splicing MBBs around requires known about

Hello everyone, I am running a mixed effects model where I have two fixed factors, one with 2 levels and one with 4, and their interaction. Let's say these are my factors and their levels: FirstFactor: 1, 2 SecondFactor: A, B, C, D For the interaction, I am interested in the four two-way comparisons, not the two four-way comparisons. In other words, I want to test whether 1A is

Hi all, I've just written a small enhancement to SimplifyPHINode. The idea is the following: If we have this: a = phi(X, X, undef, undef, X, undef) X = select cond, sth, a or this: a = phi(X, X, undef, undef, X, undef) X = select cond, a, sth we can replace the phi by 'a' and the select by 'sth'. Why does this work? Well, in those cases where control-flow happens to

Hi, I am using acts_as_athenticated plugin for my rails application. That plugin is using "SHA1" algorithm to encrypt password & stroe it into database. Now in future suppose user requsted his password through email, hhow should I decrypt that password in my application & for sending it through mail? Please help me. I am trying this since last 2 days. But still not