search for: ncall

...for (j = 0; j < nptrs; j++) printf("%s\n", strings[j]); free(strings); } static void /* "static" means don't export the symbol... */ myfunc2(void) { myfunc3(); } void myfunc(int ncalls) { if (ncalls > 1) myfunc(ncalls - 1); else myfunc2(); } int main(int argc, char *argv[]) { if (argc != 2) { fprintf(stderr, "%s num-calls\n", argv[0]); exi...

Hi James, We've indeed passed the appropriate (and even excessive) flags to the appropriate pipeline parts, that is: llvm-gcc -O1 -fno-omit-frame-pointers -g $in -emit-llvm -S -o $name.ll llc --disable-fp-elim $name.ll -o $name.S g++ -fno-omit-frame-pointers -c $name.S , but that didn't work Alex On Tue, Apr 5, 2011 at 4:40 PM, James Molloy <James.Molloy at arm.com> wrote:

...ow I have successfully inserted the new global variables to the global list, > and inserted the new call instructions to the instruction list. But I don't > know how to associate them together. For example, I have > > GlobalVariable *Gv = new GlobalVariable(...); > Instruction *NCall = new CallInst(...); > How do I assign the value of NCall to Gv? You probably want to pass Gv in as an argument to the call? I don't know what you're trying to do, so I can't help without more details. -Chris -- http://nondot.org/sabre/ http://llvm.org/

..., instead of StdError Infit Outfit [1,] -0.380346 0.103002 1.007466 0.9935 I would prefer StdError Infit Outfit V1 -0.380346 0.103002 1.007466 0.9935 This also occurs in my print method print.jml <- function(x, digits = 2, ...){ cat("\nCall:\n", deparse(x$call), "\n\n", sep = "") cat("Coefficients:\n") print.default(format(coef(x), digits = digits), print.gap=2, quote = FALSE) invisible(x) } Which produces > win Call: jml2.default(dat = itemDat[, 1:10]) Coefficients: [...

...an S4 method: showMethods("show", classes="fHURST", includeDefs=TRUE) Function: show (package methods) object="fHURST" function (object) { x = object doplot = TRUE cat("\nTitle:\n ", x at title, "\n", sep = "") cat("\nCall:\n ") cat(paste(deparse(x at call), sep = "\n", collapse = "\n"), "\n", sep = "") ... snipped IAnd not easily susceptible to throwing base graphics parameters at ti since it's all hard-coded. I've suggested to the OP that hacking th...

What Dave said, plus here's a hint. Try this example (which uses base graphics): plot(1:5) plot(1:5, cex.lab=2) Then look at the help page for par help('par') or ?par to search for other graphics parameters (base graphics) you can use to change various things. Success will depend, as Dave indicated, on how the package author handled the plotting options in rsFit(). -Don --

I don't understand why I get the following results. I define two classes 'Base' and 'Derived', the latter of which 'contains' the first. I then define a generic method 'test' and overload it for each of these classes. I call 'callNextMethod()' in the overload for Derived. From the output, it appears that the overload for Base gets called twice. Why is

Hello, How does one specify a formula to lm inside a function (with variable names not known in advance) and have the formula appear explicitly in the output? For example, f <- function(d) { in.model <- sample(c(0,1), ncol(d)-1, replace=T) current.model <- lm(paste(names(d)[1], "~", paste(names(d[2:ncol(d)])[which(in.model == 1)], collapse= "+")), data=d) #***

...+ 1) p.F.stat <- 1 - pf(x$F.stat, df1 = df1, df2 = df2) inv.mat <- solve(x$V) means.diff <- x$mu1 - x$mu2 lambda <- inv.mat %*% means.diff colnames(lambda) <- "lambda" rownames(lambda) <- colnames(x$V) ## Print the results cat("\nCall: ", deparse(x$call), "\n\n") cat("Pooled Variance-Covariance Matrix:", "\n\n") print.default(x$V, digits = digits) cat("\n") cat("Covariance Matrices:", "\n\n") cat("Group 1:", "\n") print.d...

...internal] exten => _3XX,1,NoOp() same => n,Set(E=${EXTEN}) same => n,Set(${E}_VMCONTEXT=${HOTDESK_INFO(vmcontext,${E})}) same => n,Set(USER_LOCATION=${HOTDESK_USER_STATUS(${E})}) same => n,GotoIf($[${ODBCROWS} < 1]?notloggedin) same => n,Dial(SIP/${USER_LOCATION},20,wWU(blf-begincall^${E}^INUSE)b(blf-begincall^s^1(${E}^RINGING))) same => n,Voicemail(${E}@${${E}_VMCONTEXT},b) same => n,Hangup() same => n(notloggedin),Set(LOGGED_OFF=1) same => n,Voicemail(${E}@${${E}_VMCONTEXT},u) same => n,Hangup() In both Asterisk 10 and Asterisk 11, the GotoIf does not work und...

...d(varex, "Proportion Var" = vx/p) if(factors > 1) varex <- rbind(varex, "Cumulative Var" = cumsum(vx/p)) } cat("\n") print(round(varex, digits)) invisible(x) } print.factanal <- function(x, digits = 3, ...) { cat("\nCall:\n", deparse(x$call), "\n\n", sep = "") cat("Uniquenesses:\n") print(round(x$uniquenesses, digits), ...) print(x$loadings, digits = digits, ...) # the following lines added by J. Fox, 26 June 2005 if (!is.null(x$rotmat)){ tmat <- sol...

Dear all, After a thorough research, I still find myself unable to find a function that does linear regression of 2 vectors of data using the "total least squares", also called "orthogonal regression" (see : http://en.wikipedia.org/wiki/Total_least_squares) instead of the "ordinary least squares" method. Indeed, the "lm" function has a

...g dimnames(ans$correlation) <- dimnames(z$cov.unscaled) } class(ans) <- "summary.aov" ans } print.summary.aov <- function (x, digits = max(3, .Options$digits - 3), roundfun = round, ...) { cat("\nCall:\n") cat(paste(deparse(x$call), sep = "\n", collapse = "\n"), "\n\n", sep = "") resid <- x$residuals df <- x$df rdf <- df[2] if (rdf > 5) { cat("Residuals:\n")...

...d(varex, "Proportion Var" = vx/p) if(factors > 1) varex <- rbind(varex, "Cumulative Var" = cumsum(vx/p)) } cat("\n") print(round(varex, digits)) invisible(x) } print.factanal <- function(x, digits = 3, ...) { cat("\nCall:\n", deparse(x$call), "\n\n", sep = "") cat("Uniquenesses:\n") print(round(x$uniquenesses, digits), ...) print(x$loadings, digits = digits, ...) # the following lines added by J. Fox, 26 June 2005 if (!is.nul...