similar to: : global and local variables

Hi all, I have some some problem with regard to finding the integral of a function containing an indicator function. please see the code below: func1 <- function(x, mu){ (mu^2)*dnorm(x, mean = mu, sd = 1)*dgamma(x, shape=2)} m1star <- function(x){ integrate(func1, lower = 0, upper = Inf,x)$val} T <- function(x){ 0.3*dnorm(x)/(0.3*dnorm(x)+0.7*m1star(x))} func2 <-

Hi all, I have some some problem with regard to finding the integral of a function containing an indicator function. please see the code below: func1 <- function(x, mu){ (mu^2)*dnorm(x, mean = mu, sd = 1)*dgamma(x, shape=2)} m1star <- function(x){ integrate(func1, lower = 0, upper = Inf,x)$val} T <- function(x){ 0.3*dnorm(x)/(0.3*dnorm(x)+0.7*m1star(x))} func2 <-

On Wed, Jan 10, 2018 at 5:21 AM, James Y Knight <jyknight at google.com> wrote: > > On Fri, Jan 5, 2018 at 9:58 PM, Ryan Prichard via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > >> 2. *Termination landing pads.* >> >> Clang sometimes uses a landing pad that calls __clang_call_terminate to >> terminate the program. GCC instead leaves a gap in

Folks, A small group of us are working together to develop a set of R functions to support data management and analysis using Eclipse/StatET in a Windows environment. We are using Git/EGit for version control. We work within our own repository and occasionally push to a common remote location. I'd like to have the code source files from the 'local' git repository without

Dear List: I have the following simple program: x<- sample(site) VarGuilda1<- var(tapply(x,site,func1)) VarGuilda2<- var(tapply(x,site,func2)) VarGuilda3<- var(tapply(x,site,func3)) VarGuilda4<- var(tapply(x,site,func4)) VarGuilda5<- var(tapply(x,site,func5)) VarGuilda6<- var(tapply(x,site,func6)) VarGuilda7<- var(tapply(x,site,func7)) VarGuilda8<-

On Fri, Jan 5, 2018 at 9:58 PM, Ryan Prichard via llvm-dev < llvm-dev at lists.llvm.org> wrote: > 2. *Termination landing pads.* > > Clang sometimes uses a landing pad that calls __clang_call_terminate to > terminate the program. GCC instead leaves a gap in the call site table, > and the personality routine calls std::terminate. For the 4MB > libQt5Core.so sample I'm

hi all, I wish to draw on the same graphic device 3 functions. But i don't want them to be on different graph, i want to compare them on the same I don't need mfrow or mfcol, I need something else... 1 graph on 1 device inside this graph 3 ploted function. I saw something unsing data.frame, but i think it's overkill, and something less complicated must exist, if not why? why not

hi all, I wish to draw on the same graphic device 3 functions. But i don't want them to be on different graph, i want to compare them on the same I don't need mfrow or mfcol, I need something else... 1 graph on 1 device inside this graph 3 ploted function. I saw something unsing data.frame, but i think it's overkill, and something less complicated must exist, if not why? why not

Hi, I'm investigating the size of Clang's generated binaries relative to GCC, when targeting Android, and I've noticed that Clang's exception tables are much larger -- the .ARM.extab section is about 2.5 times as large in two examples. I noticed a couple of differences between Clang and GCC: 1. *ULEB128 encoding.* In the call site table, GCC encodes offsets using a ULEB128

Hello guys, I would like to ask for help to understand what is going on in "func2". My plan is to generalize "func1", so that are expected same results in "func2" as in "func1". Executing "func1" returns... 0.25 with absolute error < 8.4e-05 But for "func2" I get... Error in dpois(1, 0.1, 23.3065168689948, 0.000429064542600244,

I am having problems JIT'ing 2 functions where one of them calls the other. (I am using the old JIT interface). Here is the setup: define void @func1() { entrypoint: call void @func2(void) ret void } define void @func2(void) { entrypoint: ret void } (I omit the arguments and function bodies for simplicity.) It's 'func1' that would be called from host code,

Hi All, I am running an Rscript with a bunch of algorithms that are UNSTABLE under some parameter settings. At a certain point one of them sends error massage and my whole run STOPS! What I would like is to save the error massage in some file or variable and carry on to the next command line without stopping this run... Any help or ideas would be welcome, please, with a concrete example (not

My question is a seemingly simple one. I have a bunch of user-defined functions which compute such-and-such objects. I want to be able to define a variable in a particular function, then make use of it later, perhaps in a different function, without necessarily having to move it around in argument lists. In the C community, it would be called a "global" variable. Question 1: Is this

Hi, I have a naive question on how to generate LLVM IR for inline functions. I have compiled this C code: *inline void func1()* * {* * int x=3;* * }* * void func2()* * {* * func1();* * int y = 4;* * }* into LLVM IR, using clang -emit-llvm -S -c <filename> But the generated LLVM IR file does *not* have func1() expanded (see below for the relevant parts). *; Function Attrs: nounwind

Hi, all. My question is about how to split one module into N modules(N >= 2)? For example, given the following code: #src.c# int main() { //......// func1(); func2(); //......// return 0; } void func1() { //......// } void func2() { //......// } func1() has no dependence with func2(), so they can perform parallel execution. And I have to split src.c into src1.c

Hi, I am searching for a way to solve the following problem: I want to use an external function, defined in a dyn.load()ed shared object, in another dyn.load()ed shared object. Currently I have to take the sources (Fortran) from one libraries src/ directory and copy them into the src/ dir of the other library, resulting in two copies of this function. This is bad for maintanance and maybe also

Dear helpers, I am trying to write a function to return prediction values using package ts. I have written three different versions since I am not sure what's wrong with my func2. func and func1 return the same results.But func1 and func2 don't. In particular, the only difference between "func1" and "func2" is the function variable name being y and data, respectively.

Is there a tidy way to get the names of objects passed to a function via the "..." argument? rbind/cbind does what I want: test.func1 <- function(...) { nms <- rownames(rbind(..., deparse.level=1)) print(nms) } x <- "some stuff" second <- "more stuff" test.func1(first=x, second) [1] "first" "second" The usual

I'm hitting a strange pointer aliasing "bug". Here is a test case : /* SOURCE CODE */ #define little_list_size 8 class LittleList1 { public: int _length; double _data[ little_list_size ]; LittleList1( int length ) { _length = length; for( int i=0; i<length; i++ ) _data[i] = 0; } }; class LittleList2 { public: int _length; double _data[ little_list_size ];

Hi I am trying to find a parametric bootstrap confidence interval and when I used the boot function I get zero bias and zero st.error? What could be my mistake? Thank you and take care. Laila [[alternative HTML version deleted]]