similar to: problem with function 'optimise' (PR#9438)

When investigating the legend(x,y, expression ( <math>, <math> ), ....) [as suggested by Jim Lindsey], I once again stumbled over the fact that expression objects behave somewhat ``wierdly'', IMHO. We can have expressions of length(.) > 1, and access elements of these like list elements. However, other natural things don't work with expressions; some example

I've got two tables.... first one(table1): ID chrom start end Ex1 2 152 180 Ex2 10 2000 2220 Ex3 15 3000 4000 second one ( table2): chrom location name 2 160 Alv 2 190 GNN 2 100

Hi list, I don't know if somebody has spent a lot of time debugging strange problems with if else positioning - the parser seems to recognize only the syntax bellow - this is the only way of making these pieces of code to work. As far as i'm concerned, no examples were available (it would be so awesome to have them in the introductory manual!) #Try to change the placement of the

Hello, I'm new to R and have been following many guides including the two-way anova (http://www.personality-project.org/r/r.anova.html). Using that walkthrough including the supplied data I do str(data.ex2) and receive the appropriate types of data as follows: > str(data.ex2) 'data.frame': 16 obs. of 4 variables: $ Observation: int 1 2 3 4 5 6 7 8 9 10 ... $ Gender :

Hi, The other day on IRC myself, Chandler, Hal and Pablo discussed recursive inlining. I've pondered a bit since then, and thought I'd get some background on the list with the aim of stimulating discussion. Our goal is to inline recursive functions. We have several workloads with recursive calls, and inlining them to a certain degree can improve performance by up to 30%. Inlining

Problem on flexmix when trying to apply signature developed in one model to a new sample. Dear R Users, R Core Team, I have a problem when trying to know the classification of the tested cases using two variables with the function of flexmix: After importing the database and creating a matrix: BM<-cbind(Data$var1,Data$var2) I see that the best model has 2 groups and use: ex2

Hi Hal, > As we had briefly mentioned on IRC, one way of forming this 'stack', and its associated 'cnt' variable, is to use dynamic stack allocation. I hadn't really reached a decision on the mechanics yet. However, your suggestion while it can work within the current abilities of the IR, has the disadvantage that it is using an extra stack slot for the link pointer. I

Dear all, I have a function that predicts DV based on one predictor pred: pred<-c(0,3000000,7800000,15600000,23400000,131200000) DV<-c(0,500,1000,1400,1700,1900) ## I define Function 1 that computes the predicted value based on pred values and parameters a and b: calc_DV_pred <- function(a,b) { DV_pred <- rep(0,(length(pred))) for(i in 1:length(DV_pred)){ DV_pred[i] <- a *

Dear r heper, How can I change the strip text, for example (16,23] in the following example, to other more informative text such as "high level" on the fly? library(effects) Cowles$ex2 <- cut(Cowles$extraversion,3) mod.cowles <- glm(volunteer ~ sex+neuroticism*ex2,data=Cowles, family=binomial) eff.cowles <- allEffects(mod.cowles) plot(eff.cowles,

Hi Sanjiv, Sanjiv Gupta <sanjiv.gupta <at> microchip.com> writes: > > PIC16 now has clang and llc based system to generate native assembly. We > then use our native assembler (gpasm) and the native linker (mplink) to > generate the final executable. How can I integrate these things with > the driver llvmc to have gcc like user experience? Note that we also >

PIC16 now has clang and llc based system to generate native assembly. We then use our native assembler (gpasm) and the native linker (mplink) to generate the final executable. How can I integrate these things with the driver llvmc to have gcc like user experience? Note that we also want to run llvm-ld in order to perform the LTOs in case of multiple files. - Sanjiv

Hi Zide, I think I found the right way to reach my goal. I used the following command: clang -O3 -Xclang -disable-llvm-optzns main.c -S -emit-llvm -o main.ll to generate an IR file enriched by all the metadata that otherwise wouldn't be generated with -O0. Moreover, -disable-llvm-optzns flag ensures that none of the optimization passes has been applied yet to the IR. In this way, I can

Hi there, I checked google for aov. usually one uses summary to see whether the p-value is small. but I want to put aov in my script. how can I get the p-value, (0.1115, 0.6665, 0.6665 in the following example)? thanks YU > datafilename="http://personality-project.org/r/datasets/R.appendix2.data" > data.example2=read.table(datafilename,header=T) > aov.ex2 =

Dear all, I am doing few experiments to do understand optimization phase interactions. Here is a brief description of my experiements. 1. I picked the list of machine independent optimizations acting on llvm IR (those that are enabled at O3). 2. for each optimzation in the optimization-list a) Compiled the program using 'clang -c O0 -flto program.c' b) opt

Hello, At the boot prompt ALLOWOPTIONS 0 is only applied to implicit kernels and not to labels. For configuration which want to allow selection, but prevent customization of the kernel command line, this behaviour is bad. Also the IMPLICIT 0 is applied to both the boot prompt and configuration setting (like DEFAULT); but one could argue that only the command supplied at the prompt make sense to

Hi everyone, I am beginner using R but I try to learn more. I need this graphic or similar but instead of tropical and temperate are three ontogenetic states Larva Met Juv CTMAX CTMIN SP SP SP This is my scrip: Ex = subset(Expr, Outlayer=="N") Ex2 = subset (Ex, S0 == 1) Ex3

> I'll be happy to answer any further questions you may have, feel free to e-mail > me directly (though right now our mail server is down) > The salient features that we want to have in the driver are: 1. llvm-ld will be used as "The Optimizer". 2. If the user has specified to generate the final executable, then llvm-ld should run on all the .bc files generated by clang

Hi, Apologies for the very late response. We have manually tried the idea with a very simple Fibonacci sequence code. While being very very simple, the recursion cannot be handled by TRE. Because there are two recursive callsites, it also needs to keep some sort of state across iterations of the "while(stack not empty)" loop. We get between 2.5 and 8x slowdowns depending on which

Hi, trying to install a package containing C code and requiring non-default configure argument settings the incantation (this has worked for R <= 2.8.1 on the same architectures) R CMD INSTALL --configure-args="--with-opt1 --with-opt2" packname does always result in a warning Warning: unknown option '--with-opt2' and consequently the option is ignored. Reverting the order

Hi, I'm using LLVM 1.8 with the GCC4-frontend on a Slackware 10.2 box (GCC 3.3.6). When issuing the following command (line 14 in a script called manual.sh): llvm-ld -O1 *.trans -L${SOME_LIB_DIR} -L${SOME_OTHER_LIB_DIR} -L${LLVM_FRONT}/lib -lSOME_LIB -lSOME_OTHER_LIB -load=${MY_LIB_DIR}/opt1.so -load=${MY_LIB_DIR}/opt2.so -debug-pass=Details -debug -o test ... I get the following