search for: fcalle

I recently began hacking around with my first LLVM pass. The big picture is that I would like to insert function calls for each instruction type, and pass some parameters based on the instruction type. Then I will link the output to some C file that implements those functions. Things were going well until I started trying to make function calls with a pointer as a parameter. For example, I would

The parts of klibc specific to the alpha architecture. Signed-off-by: H. Peter Anvin <hpa at zytor.com> --- commit 5e5ce29210ac33a0b3704eb9ab5e5d5b55375575 tree 2ec24df596e13c21b68da4d905f546770d36fdad parent 8529b52550ba78984998d3a9cc9deb467217fa3e author H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun 2006 16:58:14 -0700 committer H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun

Dear R useRs, I have a problem with nls.lm function of minpackl.lm package. I need to fit the Van Genuchten Model to a set of data of Theta and hydraulic conductivity with nls.lm function of minpack.lm package. For the first fit, the parameter estimates keep changing even after 1000 iterations (Th) and I have a following error message for fit of hydraulic conductivity (k); Reason for

Dear All, I would like to define a function: f(x,y,z) with three arguments x,y,z, such that: given values for x,y, f(x,y,z) is still a function of z and that I am still allowed to find the root in terms of z when x,y are given. For example: f(x,y,z) = x+y + (x^2-z), given x=1,y=3, f(1,3,z)= 1+3+1-z is a function of z, and then I can use R to find the root z=5. Thank you. -Chee [[alternative

I am sure it is just me not understanding how R works, but could somebody explain why curve(cos(x)) works and curve(expression(cos(x)) does not? I have done some investigating and here is what I found. If I comment out the line of curve indicated below, both calls work fine. function (expr, from, to, n = 101, add = FALSE, type = "l", ylab = NULL, log = NULL, xlim =

I have a function in R that takes another function as argument: f <- function(g, ...) { #g is expected to be a function } I want to see if there is a way to implement "f" in C and calling it from R using ".C" interface. I know that I can use function pointers for my C implementation, but I imagine it's going to be nearly impossible to pass a function from R to C. Are

Hello, I very much enjoy "with" and "subset" semantics for data frames and was wondering if we could have something similar with split, basically by evaluating the second argument "with" the data frame : split.data.frame function(x, f, drop = FALSE, ...){ call <- match.call( ) fcall <- call( "with", data = call[["x"]],

Someone has reported a problem with predict.coxph that I can't seem to solve. The underlying issue is with model.frame.coxph; the same issue is also found in lm so I'll use that for the example. -------------------------- > test <- data.frame(y = 1:10 + runif(10), x=1:10) > myfun <- function(formula, nd) { fit <- lm(formula, data=nd, model=FALSE)

Hola! It is somewhat inconvenient to use plot.function, when add=TRUE. The following (miniscule) change makes it behave better: plot.function <- function (fn, from , to, xlim = NULL, ...) { if (!is.null(xlim)) { if (missing(from)) from <- xlim[1] if (missing(to)) to <- xlim[2] } curve(fn, from, to, xlim = xlim, ...) } The only

Hi R collective, I quite like the "curve" function because you can chuck a R function into it, and see the graph in one line of R. I had a google and found some threads for filling under the line; http://tolstoy.newcastle.edu.au/R/e2/help/07/09/25457.html However they seem to miss the point of the simplicity of going, "I wonder what that looks like, and can I have some colour

I am a Professor of Statistics at Indira Gandhi Krishi Vishwavidyalaya, Raipur, India. While teaching in class about analysis of variance using R, I was doing a one-way analysis for the two data-sets given below in the R-class. I got a typical error in "emmeans" package, please help: Data-set-1: -------------- Medley and Clements (1998) investigated the impact of zinc contamination (and

Dear R developers, I have a new class, which I called "Molecule", and have tried to define = a "+" operation for 2 objects of this class. This is what I have written so far, although the method is not complete = (I'm trying to look at it at intermediate stages): setMethod( f=3D"+", signature(x=3D"Molecule",y=3D"Molecule"),

I've narrowed my scope problems with predict.coxph further. Here is a condensed example: fcall3 <- as.formula("time ~ age") dfun3 <- function(dcall) { fit <- lm(dcall, data=lung, model=FALSE) model.frame(fit) } dfun3(fcall3) The final call fails: it can't find 'dcall'. The relevant code in model.frame.lm is: env <- environment(formula$terms)

On 07/01/18 02:19, Akhilesh Singh wrote: > I am a Professor of Statistics at Indira Gandhi Krishi Vishwavidyalaya, > Raipur, India. While teaching in class about analysis of variance using R, > I was doing a one-way analysis for the two data-sets given below in the > R-class. I got a typical error in "emmeans" package, please help: > > Data-set-1: > --------------

Hi, I want to insert a write operation to a fd opened, but I have some questions to construct parameters to pass to function that I want to insert, because one from a return value from previous call, the other one is a string, The detailed description of the problem is as follows; I have: int fd = open(g_settings_path, O_RDONLY); and I want to insert this function after the instruction above:

Hi, I make a graphic using xyplot, it is very good. xyplot((ocorrencia/isca)~frag|especie) But I need to plot a curve for each especie's plot. I try to use panel.abline and others panel., but I dont succeed. I need to plot the function exp(a+b*x+c*x^2)/1+exp(a+b*x+c*x^2), a b and c are different for each especie. Normally I use the curve function to add a curve in a points

Dear all! I do definetley have some difficulties. Here is my code: > setMethod("write", + signature(object = "KMatrix", path = "character"), + function(object,path){ + write.table(object at data,path,row.names=FALSE, sep = "\t") + } + ) error in match.call(fun, fcall) : unused

Brian, So let me ask an r-core opinion. Should I change the default to model=TRUE? Survival is heavily used and there is something to be said for consistency within the central packages. Sometimes old habits die hard, and there is a "save memory" part of me that hates to save a large object that likely won't be used. Not nearly as relevant today as when I started my

Thanks for your kind reply. Problem is solved. However, it's "confidence interval / treatment comparison plot" is not taking main title. And the fonts of axes labels can not be changed using 'cex' parameter. I will appreciate if you could help in this matter too. Dr. A. K. Singh On 09-Jan-2018 8:18 PM, "Sal Mangiafico" <salvatore.s.mangiafico at gmail.com>

I tried the following (relevant excerpt only) setMethod("likelihood", signature(spec="Specification", covs="vector", states="vector"), function(spec, covs, states) { #### setMethod("likelihood", signature(model="Model", path="matrix"), function(model, path) { This