similar to: Plotting math functions

Hi all, I'm currently working with a dataset that has quite a few missing values and after some investigation I figured that multiple imputation is probably the best solution to handle the missing data in my case. I found several references to functions in S-Plus that perform multiple imputation (NORM, CAT, MIX, PAN). Does R have corresponding functions? I searched the archives but was not

Hi all, I am running a series of experiments where after manipulating my data I run several clustering algorithms (agnes, diana and a clustering method of my own) on the data. I wanted to determine which clustering method did the best job, so therefore I had defined my own quality measure using two criteria: compactness of the data within the clusters themselves and the amount of seperation

Hi all, I have (yet another) question about a function in R. What I would like to do is test for the presence of a certain value in a vector, and have the positions that this value is at returned to me. For example, let's say I have a vector: x <- c(1,1,2,2,3,3,4,4) Now I would like a function that would return positions 3 and 4 should I test for the value "2". Or 5 and 6

Hello everyone, I'm new to this list, so let me introduce myself: my name is Jonck van der Kogel and I am a graduate student at the Erasmus University of Rotterdam. I am currently working on my thesis which is on the use of artificial intelligence for large data-sets. To do an analysis of a certain data-set I want to use Kohonen's SOM algorithm. However, as I understand it, the SOM

Hi all, I am having a bit of trouble with the array structure of R. What I want to do is dynamically add/remove elements to an array. For example: Let's say I have created an array: > myArray <- array(c(3,8), dim=c(1,2)) > myArray [,1] [,2] [1,] 3 8 And I now want to, for example, push an element (5,6) on to this array so it will read: [,1] [,2] [1,] 3 8

Hi all, I have a question about the SOM routine. You can either supply the initial representatives for the lattice yourself or else they are chosen randomly from the dataset. Is it possible to pass the random-seed as an argument somehow, when choosing the random initialisation of the lattice? As it is now, each time I run a SOM on a dataset with the same settings the resulting SOM will still

Hi all, A short while ago I asked a question about multiple imputation and I got several helpful replies, thanks! I have untill now tried to use the packages mice and norm but both give me errors however. mice does not even run to start with and gives me the following error right away: iter imp variable 1 1 Liquidity.ratioError in chol((v + t(v))/2) : the leading minor of order 1 is not

Hello, I am a new R user and I am trying to estimate some generalized linear models (glm). I am trying to compare a model with a gaussian distribution and an identity link function, and a poisson model with a log link function. My problem is that while the gaussian model has significantly lower (i.e. "better") AIC (Akaike Information Criterion) most of the coefficients are not

Hi! I'd like to replace all calls to standard math functions (e.g. sin(0.5)) by their result. What strategy do you recommend? Should I write a pass that does only this or should I copy and modify the SCCP pass? A problem with an extra pass could be that that I need to alternate my pass and SCCP several times since the results of the math functions could be folded again. -Jochen

Hello, Code: int f1(int a, int b) { return sqrt(a) > sqrt(b); } int f2(int a, int b) { return a > b; } Possibly, under -ffast-math (to ignore NaNs), f1 could be transformed to f2 variant. Also a transformation could support sin and tan, and reverse comparison for cos. Suggestions? Thanks -------------- next part -------------- An HTML attachment was scrubbed... URL:

On Mar 1, 2010, at 9:44 AM, Jochen Wilhelmy wrote: > Hi! > > I'd like to replace all calls to standard math functions (e.g. sin(0.5)) by > their result. > What strategy do you recommend? > Should I write a pass that does only this or should I copy and > modify the SCCP pass? > > A problem with an extra pass could be that that I need to alternate > my pass and

On 22 March 2017 at 01:38, Friedman, Eli <efriedma at codeaurora.org> wrote: >> Small example fail.c: >> >> // clang -O2 -target armv7a-none-none-eabi -mfloat-abi=hard -ffast-math >> -S fail.c -o - >> extern float sinf (float x); >> float sin1 (float x) {return (sinf (x));} I changed your example slightly to make sure we're passing the

Hello, I'm currently adding the floating point math instructions (fabs, fsin, fcos ...) to the x86 instruction set. I'm a bit unsure how to make the back end actually generate these instructions, though. My current plan is to add llvm intrinsics for these instructions but I've noticed that llvm already handles C math library functions to some extent. It feels a bit strange to add

Chris Lattner wrote: > The way to deal with this is to add LLVM intrinsics, but only for > functions that set errno. For example, you could add llvm.sqrt, which > is just undefined on a negative value other than -0.0. For your uses, > you just emit llvm.sqrt, the C frontend will make use of it and wrap > errno handling around it as required. > > For functions like

On Tue, 4 Jan 2005, Morten Ofstad wrote: > I'm currently adding the floating point math instructions (fabs, fsin, fcos > ...) to the x86 instruction set. Cool! > I'm a bit unsure how to make the back end actually generate these > instructions, though. My current plan is to add llvm intrinsics for > these instructions but I've noticed that llvm already handles C

On 29 March 2017 at 02:33, Saleem Abdulrasool <compnerd at compnerd.org> wrote: > sin/cos are libm functions, and so a libcall to those need to honour the > floating point ABI requests. The calling convention to be followed there > should match `-mfloat-abi` (that is, -mfloat-abi=hard => AAPCS/VFP, > -mfloat-abi=soft => AAPCS). Exactly, but they're not, and that's

Hi all Another simple question. I would like to plot three graphs one the same plot with different colours. Say red, blue and black. Here are the functions. r1<-1+5*cos(2*pi*seq(1:100)/20)+rnorm(100) r2<-1+7*sin(2*pi*seq(1:100)/20)+rnorm(100) r3<-1+7*sin(2*pi*seq(1:100)/20)+5*cos(2*pi*seq(1:100)/20)+rnorm(100) Regards Allan

Hello, clang/llvm 4.0.0 generates invalid calls for builtin functions with -mfloat-abi=hard -ffast-math. Small example fail.c: // clang -O2 -target armv7a-none-none-eabi -mfloat-abi=hard -ffast-math -S fail.c -o - extern float sinf (float x); float sin1 (float x) {return (sinf (x));} generates code to pass the parameter in r0 and expect the result in r0. The same code without

Dear All, I'm getting a error while trying to apply the BreastCancer dataset (package=mlbench) to kknn (package=kknn) that I don't understand as I'm new to R. The codes are as follow: rm = (list = ls()) library(mlbench) data(BreastCancer) library(kknn) BCancer = na.omit(BreastCancer) d = dim(BCancer)[1] i1 = seq(1, d, 2) i2 = seq(2, d, 2) t1 = BCancer[i1, ] t2 =

Hi all! Does anyone knows if it exists a "symbolic math" package in R, that allows to compute derivatives, integrals, etc.? Does exist a freeware version of Maple? Cheers, Marco [[alternative HTML version deleted]]