similar to: [LLVMdev] Using LLVM to convert a language to another language

Dear R users, Simple question. Can anyone help with the code that would allow me to view only the variables who's correlation output is >0.8? This is the code I'm using to date >cor(data, method="spearman") Kind regards Krys -------------------------------------------- _________________________________________________________________ Save time by

Dear list, Has anyone created a version of SSmicmen that allows testing for group differences? The basic Michaelis-Menten equation is: (Bmax * X) / (Kd + X). The nlme package allows modeling of random effects for Bmax and Kd as needed, but I curious how I can build in group differences? I have receptor binding data for strains of mice, and following Pinheiro and Bates' lead in their

While I could figure this out, I''m asking here first to see if anyone has already dealt with/created this. I''m running a mongrel cluster, running 4 mongrels on ports 8001-4. I''m using capistrano to deploy. And I''d like to use monit to check to make sure everything is running nice. I''d like to have monit restart only single mongrels if they fail, and

Dear R-users, I have some trouble to perform a 2-samples KS test. Apparently my 2 samples are numerical (see below) but R complains that the "y" term is not.... ------------------------------------------------------------------------------------- > str(subset(mydata,Identified=="NO",select=KD)) 'data.frame': 2889 obs. of 1 variable: $ KD: num -0.272 -0.080

Fit NLE - was: [R] computer algebra in R Original post: https://stat.ethz.ch/pipermail/r-help/2023-November/478619.html Dear Kornad, I think I have started to understand what you try to achieve. The problem is to fit a NLE and compute the parameters of the NL-Eq. I have included the R Help-list back in the loop, as I am not an expert in optimization. Goal: y ~ I0 + IHD * hd + ID * d; where: y

Hello All, Thank you for taking my question. I am looking for information on how R handles interaction terms in a multiple regression using the ?lm? command. I originally noticed something was unusual when my R output did not match the output from JMP for an identical test run previously. Both programs give identical results for the main test and if the models do not contain the interaction

Sorry for cross-posting, but I realized my question might be more appropriate for r-devel... Thank you, Giovanni ________________________________________ From: R-help <r-help-bounces at r-project.org> on behalf of Giovanni Petris <gpetris at uark.edu> Sent: Tuesday, September 10, 2019 16:44 To: r-help at r-project.org Subject: [R] Calling a LAPACK subroutine from R Hello R-helpers!

Berend, I do not think this works with gfortran 7+. I am calling the BLAS subroutine dgemv from Fortran code in my package eha, and the check (with R-devel) gives: gmlfun.f:223:1: warning: type of ?dgemv? does not match original declaration [-Wlto-type-mismatch] & score, ione) ^ /home/gobr0002/R/src/R-devel/include/R_ext/BLAS.h:107:1: note: type mismatch in parameter 12

Hi I hope this is going to the right place. I am trying to write a program which uses KernSmooth library to estimate mutual information between two time series at various different lags. At the moment it’s producing negative values, which is supposed to be impossible (something is fishy). I am summing across one row of the matrix to get p(value is in bin x) and summing across the columns to get

Hello, I have been struggling with WinDbg/Kd for the last week, but to no avail... So I finally decided to ask here. Basically, I am using a Windows XP virtual machine (thanks to VMWare6) and wanted to do some kernel debugging using Windbg. So, I did configure everything from the virtual machine side (using this guide: http://silverstr.ufies.org/lotr0/windbg-vmware.html), and then tried my hands

Hello everyone, I have biological data from a competition experiment where a free ligand is titrated against the binding of a protein. Now, I would like to fit a standard on-site binding curve to this data in order to obtain the IC50 and Kd values. Unfortunately I have not been able to find a package/function which allows such a fitting and calculates the results. Does anyone know if there is

Good morning! I recently implemented a KD tree in JAVA for faster kernel density estimation (part of the code follows). It went well. To hook it with R, however, has proved more difficult. My question is: is it possible to implement the algorithm in R? My impression seems to indicate no as the code requires a complete class-object framework that R does not support. But is there an R package or

Hello R-helpers! I am trying to call a LAPACK subroutine directly from my R code using .Fortran(), but R cannot find the symbol name. How can I register/load the appropriate library? > ### AR(1) Precision matrix > n <- 4L > phi <- 0.64 > AB <- matrix(0, 2, n) > AB[1, ] <- c(1, rep(1 + phi^2, n-2), 1) > AB[2, -n] <- -phi > round(AB, 3) [,1] [,2] [,3]

Hello R-helpers! I am trying to call a LAPACK subroutine directly from my R code using .Fortran(), but R cannot find the symbol name. How can I register/load the appropriate library? > ### AR(1) Precision matrix > n <- 4L > phi <- 0.64 > AB <- matrix(0, 2, n) > AB[1, ] <- c(1, rep(1 + phi^2, n-2), 1) > AB[2, -n] <- -phi > round(AB, 3) [,1] [,2] [,3]

Followup: I have checked my package nleqslv which uses dgemv only from Fortran, on Kubuntu 18.04 with the development version of R. No errors or problems. Berend > On 12 Sep 2019, at 08:57, Berend Hasselman <bhh at xs4all.nl> wrote: > > > I have tried what I proposed in a virtual Kubuntu 18.04 which uses gfortran 7.4. > I used the latest development version of R. >

Hello, I'm trying to sum up current options for doing small (up to 20 agents) inbound-only CC. I've found: astguiclient, maybe there are some other CC solutions? And on the other side: witch is better to have 20 PC w/ softphones or one T1 channel bank and normal phones with hands-free sets. (whitch set whould you recomend) ? kd, -- Krzysztof Drewicz Affordable 2/4 span E1/T1

On 2019-09-11 22:16, Avraham Adler wrote: > Can you write a small C function that calls LAPACK call that fro your > Fortran code? Yes, an extra step but maybe less traumatic than rewriting > parts of LAPACK directly. Yes, I know how to do that, but I find it somewhat bizarre that it is impossible to call a Fortran subroutine from Fortran. And rewriting 'dgemv' was simple:

I noticed a problem using R 2.7.1 on Windows XP SP2 with the precompiled Atlas Rblas.dll. Running the code below causes R to crash. I started R using Rgui --vanilla and am using the precompiled Atlas Rblas.dll from cran.fhcrc.org dated 17-Jul-2007 05:04 for Core2 Duo. The code that causes the crash: x <- rnorm(100) y <- rnorm(100) z <- rnorm(100) loess(z ~ x * y) loess(z ~ x) does

Hello, I am brand new in this site as well as in R. Please accept my early apology if it's not the right place to ask such a question. I have the following equation: b=[2(1-a)(1+2a)^0.5]/(1+3a) How can I solve the above equation for 'a' using R? Thanks in advance. KD [[alternative HTML version deleted]]

Hi, I am segfaulting when using predict.loess() (checked with r62092). I've traced the source with the help of valgrind (output pasted below) and it appears that this is due to int overflow when allocating an int work array in loess_workspace(): liv = 50 + ((int)pow((double)2, (double)D) + 4) * nvmax + 2 * N; where liv is an (global) int. For D=1 (one x variable), this overflows at